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class="rno-title-module-text"><em>我的收藏</em></span></a></div></div></div><div class="rno-document-details-side"><div class="markdown-nav J-navContainer absolute" style="margin-left:0;top:179px"><h2 class="nav-title">本页目录：</h2><ul class="markdown-nav-list J-floatCategory"><li><a href="#.E6.8E.A5.E5.8F.A3.E6.8F.8F.E8.BF.B0" title="接口描述">接口描述</a></li><li><a href="#.E6.8E.A5.E5.8F.A3.E8.A6.81.E6.B1.82" title="接口要求">接口要求</a></li><li><a href="#.E6.8E.A5.E5.8F.A3.E8.B0.83.E7.94.A8.E6.B5.81.E7.A8.8B" title="接口调用流程">接口调用流程</a><ul><li><a href="#.E6.8F.A1.E6.89.8B.E9.98.B6.E6.AE.B5" title="握手阶段">握手阶段</a></li><li><a href="#.E8.AF.86.E5.88.AB.E9.98.B6.E6.AE.B5" title="识别阶段">识别阶段</a></li></ul></li><li><a href="#.E5.BC.80.E5.8F.91.E8.80.85.E8.B5.84.E6.BA.90" title="开发者资源">开发者资源</a><ul><li><a href="#sdk" title="SDK">SDK</a></li><li><a href="#sdk-.E8.B0.83.E7.94.A8.E7.A4.BA.E4.BE.8B" title="SDK 调用示例">SDK 调用示例</a></li></ul></li><li><a href="#.E9.94.99.E8.AF.AF.E7.A0.81" title="错误码">错误码</a></li></ul></div></div><div id="docArticleContent" class="doc-article-content"><div class="markdown-text-box"><div class="glossary-product"> <blockquote class="d-mod-explain"> <div class="d-mod-title d-explain-title"> <i class="d-icon-explain"></i>说明： </div> <p>此接口为 API 2.0 版本，在参数风格、错误码等方面有区别于 API 3.0 版本，请知悉。</p> </blockquote> <h2 id=".E6.8E.A5.E5.8F.A3.E6.8F.8F.E8.BF.B0">接口描述</h2><p>本接口服务采用 websocket 协议，对实时音频流进行识别，同步返回识别结果，达到“边说边出文字”的效果。<br>在使用该接口前，需要 <a href="https://cloud.tencent.com/document/product/1093/54362">开通语音识别服务</a>，并进入 <a href="https://console.cloud.tencent.com/cam/capi">API 密钥管理页面</a> 新建密钥，生成 AppID、SecretID 和 SecretKey，用于 API 调用时生成签名，签名将用来进行接口鉴权。</p> <h2 id=".E6.8E.A5.E5.8F.A3.E8.A6.81.E6.B1.82">接口要求</h2><p>集成实时语音识别 API 时，需按照以下要求。</p> <table> <thead> <tr> <th>内容</th> <th>说明</th> </tr> </thead> <tbody><tr> <td>语言种类</td> <td>支持中文普通话、粤语、英语、韩语、日语、泰语、印度尼西亚语、越南语、马来语、菲律宾语、葡萄牙语、土耳其语、阿拉伯语、西班牙语、印地语、法语、德语、上海话、四川话、武汉话、贵阳话、昆明话、西安话、郑州话、太原话、兰州话、银川话、西宁话、南京话、合肥话、南昌话、长沙话、苏州话、杭州话、济南话、天津话、石家庄话、黑龙江话、吉林话、辽宁话。可通过接口参数 engine_model_type 设置对应语言类型</td> </tr> <tr> <td>支持行业</td> <td>通用、金融、游戏、教育、医疗</td> </tr> <tr> <td>音频属性</td> <td>采样率：16000Hz或8000Hz<br>采样精度：16bits<br>声道：单声道（mono）</td> </tr> <tr> <td>音频格式</td> <td>pcm、wav、opus、speex、silk、mp3、m4a、aac</td> </tr> <tr> <td>请求协议</td> <td>wss 协议</td> </tr> <tr> <td>请求地址</td> <td>wss://asr.cloud.tencent.com/asr/v2/<appid>?{请求参数}</td> </tr> <tr> <td>接口鉴权</td> <td>签名鉴权机制，详见 <a href="#sign">签名生成</a></td> </tr> <tr> <td>响应格式</td> <td>统一采用 JSON 格式</td> </tr> <tr> <td>数据发送</td> <td>建议每40ms 发送40ms 时长（即1:1实时率）的数据包，对应 pcm 大小为：8k 采样率640字节，16k 采样率1280字节<br>音频发送速率过快超过1:1实时率或者音频数据包之间发送间隔超过6秒，可能导致引擎出错，后台将返回错误并主动断开连接</td> </tr> <tr> <td>并发限制</td> <td>默认单账号限制并发数为200路，如您有提高并发限制的需求，请 <a href="https://buy.cloud.tencent.com/asr">前往购买</a>。</td> </tr> </tbody></table> <h2 id=".E6.8E.A5.E5.8F.A3.E8.B0.83.E7.94.A8.E6.B5.81.E7.A8.8B">接口调用流程</h2><p>接口调用流程分为两个阶段：握手阶段和识别阶段。两阶段后台均返回 text message，内容为 json 序列化字符串，以下是格式说明：</p> <table> <thead> <tr> <th>字段名</th> <th>类型</th> <th>描述</th> </tr> </thead> <tbody><tr> <td>code</td> <td>Integer</td> <td>状态码，0代表正常，非0值表示发生错误</td> </tr> <tr> <td>message</td> <td>String</td> <td>错误说明，发生错误时显示这个错误发生的具体原因，随着业务发展或体验优化，此文本可能会经常保持变更或更新</td> </tr> <tr> <td>voice_id</td> <td>String</td> <td>音频流全局唯一标识，一个 websocket 连接对应一个，用户自己生成（推荐使用 uuid），最长128位<br><br>注意：每次建立 websocket 连接都必须重新生成 voice_id，任何情况下中断了识别或者websocket连接(如连接失败、正常结束、识别返回错误码等)，voice_id 作废，重新发起识别必须使用新的 voice_id</td> </tr> <tr> <td>message_id</td> <td>String</td> <td>本 message 唯一 id</td> </tr> <tr> <td>result</td> <td>Result</td> <td>最新语音识别结果</td> </tr> <tr> <td>final</td> <td>Integer</td> <td>该字段返回1时表示音频流全部识别结束</td> </tr> </tbody></table> <p>其中识别结果 Result 结构体格式为：</p> <table> <thead> <tr> <th>字段名</th> <th>类型</th> <th>描述</th> </tr> </thead> <tbody><tr> <td>slice_type</td> <td>Integer</td> <td>识别结果类型：<li>0：一段话开始识别</li><li>1：一段话识别中，voice_text_str 为非稳态结果(该段识别结果还可能变化)</li><li>2：一段话识别结束，voice_text_str 为稳态结果(该段识别结果不再变化)<br>根据发送的音频情况，识别过程中可能返回的 slice_type 序列有：</li><li>0-1-2：一段话开始识别、识别中(可能有多次1返回)、识别结束</li><li>0-2：一段话开始识别、识别结束</li><li>2：直接返回一段话完整的识别结果<br><strong>注意：</strong>如果需要0和2配对返回，需要设置filter_empty_result=0（slice_type=0时，识别结果可能为空，默认是不返回空识别结果的）。一般在外呼场景需要配对返回，通过slice_type=0来判断是否有人声出现。</td> </tr> <tr> <td>index</td> <td>Integer</td> <td>当前一段话结果在整个音频流中的序号，从0开始逐句递增</td> </tr> <tr> <td>start_time</td> <td>Integer</td> <td>当前一段话结果在整个音频流中的起始时间</td> </tr> <tr> <td>end_time</td> <td>Integer</td> <td>当前一段话结果在整个音频流中的结束时间</td> </tr> <tr> <td>voice_text_str</td> <td>String</td> <td>当前一段话文本结果，编码为 UTF8</td> </tr> <tr> <td>word_size</td> <td>Integer</td> <td>当前一段话的词结果个数</td> </tr> <tr> <td>word_list</td> <td>Word Array</td> <td>当前一段话的词列表，Word 结构体格式为：<br>word：String 类型，该词的内容<br>start_time：Integer 类型，该词在整个音频流中的起始时间<br>end_time：Integer 类型，该词在整个音频流中的结束时间<br>stable_flag：Integer 类型，该词的稳态结果，0表示该词在后续识别中可能发生变化，1表示该词在后续识别过程中不会变化</td> </tr> </tbody></table> <h3 id=".E6.8F.A1.E6.89.8B.E9.98.B6.E6.AE.B5">握手阶段</h3><h4 id=".E8.AF.B7.E6.B1.82.E6.A0.BC.E5.BC.8F">请求格式</h4><p>握手阶段，客户端主动发起 websocket 连接请求，请求 URL 格式为：</p> <p><pre><code>wss:<span class="hljs-regexp">//</span>asr.cloud.tencent.com<span class="hljs-regexp">/asr/</span>v2/<appid>?{请求参数}</code></pre></p> <p>其中<appid>需替换为腾讯云注册账号的 AppID，可通过 <a href="https://console.cloud.tencent.com/cam/capi">API 密钥管理页面</a> 获取，{请求参数}格式为</p> <p><pre><code><span class="hljs-attr">key1</span>=value2&key2=value2...(key 和 value 都需要进行 urlencode)</code></pre></p> <p>参数说明：</p> <table> <thead> <tr> <th>参数名称</th> <th>必填</th> <th>类型</th> <th>描述</th> </tr> </thead> <tbody><tr> <td>secretid</td> <td>是</td> <td>String</td> <td>腾讯云注册账号的密钥 SecretId，可通过 <a href="https://console.cloud.tencent.com/cam/capi">API 密钥管理页面</a> 获取</td> </tr> <tr> <td>timestamp</td> <td>是</td> <td>Integer</td> <td>当前 UNIX 时间戳，单位为秒。如果与当前时间相差过大，会引起签名过期错误</td> </tr> <tr> <td>expired</td> <td>是</td> <td>Integer</td> <td>签名的有效期截止时间 UNIX 时间戳，单位为秒。expired 必须大于 timestamp 且 expired - timestamp 小于90天</td> </tr> <tr> <td>nonce</td> <td>是</td> <td>Integer</td> <td>随机正整数。用户需自行生成，最长10位</td> </tr> <tr> <td>engine_model_type</td> <td>是</td> <td>String</td> <td>引擎模型类型<br>识别引擎采用分级计费方案，标记为“大模型版”的引擎适用大模型计费方案，<a href="https://cloud.tencent.com/document/product/1093/35686">点击这里</a> 查看产品计费说明。<br>电话场景：</li><li>8k_zh：中文电话通用；</li><li>8k_en：英文电话通用；</li><li><strong>8k_zh_large</strong>：普方大模型引擎【大模型版】。当前模型同时支持中文、<a href="https://cloud.tencent.com/document/product/1093/35682">多种中文方言</a>等语言的识别，模型参数量极大，语言模型性能增强，针对电话音频中各类场景、各类中文方言的识别准确率极大提升。<br><br><strong>注意</strong>：如您有电话通讯场景识别需求，但发现需求语种仅支持16k，可将 input_sample_rate 参数设置为8000，使用下方16k引擎，亦能获取识别结果。但16k引擎并非基于电话通讯数据训练，无法承诺此种调用方式在电话场景下的识别效果，需由您自行验证识别结果是否可用。<br><br>非电话场景：</li><li><strong>16k_zh_large</strong>：普方英大模型引擎【大模型版】。当前模型同时支持中文、英文、<a href="https://cloud.tencent.com/document/product/1093/35682">多种中文方言</a>等语言的识别，模型参数量极大，语言模型性能增强，针对噪声大、回音大、人声小、人声远等低质量音频的识别准确率极大提升;</li><li><strong>16k_multi_lang</strong>：多语种大模型引擎【大模型版】。当前模型同时支持英语、日语、韩语、阿拉伯语、菲律宾语、法语、印地语、印尼语、马来语、葡萄牙语、西班牙语、泰语、土耳其语、越南语、德语的识别，可实现15个语种的自动识别(句子/段落级别)；</li><li><strong>16k_zh_en</strong>：中英大模型引擎【大模型版】。当前模型同时支持中文、英语识别，模型参数量极大，语言模型性能增强，针对噪声大、回音大、人声小、人声远等低质量音频的识别准确率极大提升;</li><li>16k_zh：中文通用；</li><li>16k_zh-PY：中英粤；</li><li>16k_zh-TW：中文繁体；</li><li>16k_zh_edu：中文教育；</li><li>16k_zh_medical：中文医疗；</li><li>16k_zh_court：中文法庭；</li><li>16k_yue：粤语；</li><li>16k_en：英文通用；</li><li>16k_en_game：英文游戏；</li><li>16k_en_edu：英文教育；</li><li>16k_ko：韩语；</li><li>16k_ja：日语；</li><li>16k_th：泰语；</li><li>16k_id：印度尼西亚语；</li><li>16k_vi：越南语；</li><li>16k_ms: 马来语；</li><li>16k_fil: 菲律宾语；</li><li>16k_pt：葡萄牙语；</li><li>16k_tr：土耳其语；</li><li>16k_ar：阿拉伯语；</li><li>16k_es: 西班牙语；</li><li>16k_hi: 印地语；</li><li>16k_fr：法语；</li><li>16k_de：德语；</li><li> 16k_zh_dialect：中文普通话+多方言混合引擎，除普通话外支持23种方言（上海话、四川话、武汉话、贵阳话、昆明话、西安话、郑州话、太原话、兰州话、银川话、西宁话、南京话、合肥话、南昌话、长沙话、苏州话、杭州话、济南话、天津话、石家庄话、黑龙江话、吉林话、辽宁话）；</td> </tr> <tr> <td>voice_id</td> <td>是</td> <td>String</td> <td>音频流全局唯一标识，一个 websocket 连接对应一个，用户自己生成（推荐使用 uuid），最长128位<br><br>注意：每次建立 websocket 连接都必须重新生成 voice_id，任何情况下中断了识别或者websocket连接(如连接失败、正常结束、识别返回错误码等)，voice_id 作废，重新发起识别必须使用新的 voice_id</td> </tr> <tr> <td>voice_format</td> <td>否</td> <td>Int</td> <td>语音编码方式，可选，默认值为4。1：pcm；4：speex(sp)；6：silk；8：mp3；10：opus（<a href="#jump">opus 格式音频流封装说明</a>）；12：wav；14：m4a（每个分片须是一个完整的 m4a 音频）；16：aac</td> </tr> <tr> <td>needvad</td> <td>否</td> <td>Integer</td> <td>0：关闭 vad，1：开启 vad，默认为0。<br>为保证识别效果，如果语音分片长度超过60秒，会强制在60s断一次，建议客户音频超过60s时，开启 vad（人声检测切分功能），提升切分效果。</td> </tr> <tr> <td>hotword_id</td> <td>否</td> <td>String</td> <td>热词表 id。如不设置该参数，自动生效默认热词表；如果设置了该参数，那么将生效对应的热词表</td> </tr> <tr> <td>customization_id</td> <td>否</td> <td>String</td> <td>自学习模型 id。如设置了该参数，将生效对应的自学习模型</td> </tr> <tr> <td>filter_dirty</td> <td>否</td> <td>Integer</td> <td>是否过滤脏词（目前支持中文普通话引擎）。默认为0。0：不过滤脏词；1：过滤脏词；2：将脏词替换为“ * ”</td> </tr> <tr> <td>filter_modal</td> <td>否</td> <td>Integer</td> <td>是否过滤语气词（目前支持中文普通话引擎）。默认为0。0：不过滤语气词；1：部分过滤；2：严格过滤</td> </tr> <tr> <td>filter_punc</td> <td>否</td> <td>Integer</td> <td>是否过滤句末的句号（目前支持中文普通话引擎）。默认为0。0：不过滤句末的句号；1：过滤句末的句号</td> </tr> <tr> <td>filter_empty_result</td> <td>否</td> <td>Integer</td> <td>是否回调识别空结果，默认为1。0：回调空结果；1：不回调空结果;<br><strong>注意：</strong>如果需要slice_type=0和slice_type=2配对回调，需要设置filter_empty_result=0。一般在外呼场景需要配对返回，通过slice_type=0来判断是否有人声出现。</td> </tr> <tr> <td>convert_num_mode</td> <td>否</td> <td>Integer</td> <td>是否进行阿拉伯数字智能转换（目前支持中文普通话引擎）。0：不转换，直接输出中文数字，1：根据场景智能转换为阿拉伯数字，3: 打开数学相关数字转换。默认值为1</td> </tr> <tr> <td>word_info</td> <td>否</td> <td>Int</td> <td>是否显示词级别时间戳。0：不显示；1：显示，不包含标点时间戳，2：显示，包含标点时间戳。支持引擎 8k_en、8k_zh、8k_zh_finance、16k_zh、16k_en、16k_ca、16k_zh-TW、16k_ja、16k_wuu-SH、8k_zh_large、16k_zh_large，默认为0</td> </tr> <tr> <td>vad_silence_time</td> <td>否</td> <td>Integer</td> <td>语音断句检测阈值，静音时长超过该阈值会被认为断句（多用在智能客服场景，需配合 needvad = 1 使用），取值范围：240-2000（默认1000），单位 ms，此参数建议不要随意调整，可能会影响识别效果，目前仅支持 8k_zh、8k_zh_finance、16k_zh、8k_zh_large、16k_zh_large 引擎模型</td> </tr> <tr> <td>max_speak_time</td> <td>否</td> <td>Integer</td> <td>强制断句功能，取值范围 5000-90000(单位:毫秒），默认值60000。 在连续说话不间断情况下，该参数将实现强制断句（此时结果变成稳态，slice_type=2）。如：游戏解说场景，解说员持续不间断解说，无法断句的情况下，将此参数设置为10000，则将在每10秒收到 slice_type=2 的回调。 （目前仅支持8k_zh、16k_zh、8k_zh_large、16k_zh_large 引擎）</td> </tr> <tr> <td>noise_threshold</td> <td>否</td> <td>Float</td> <td>噪音参数阈值，默认为0，取值范围：[-1,1]，对于一些音频片段，取值越大，判定为噪音情况越大。取值越小，判定为人声情况越大。<br><strong>慎用：可能影响识别效果</strong></td> </tr> <tr> <td>signature</td> <td>是</td> <td>String</td> <td>接口签名参数</td> </tr> <tr> <td>hotword_list</td> <td>否</td> <td>String</td> <td>临时热词表：该参数用于提升识别准确率。</li><li>单个热词限制："热词|权重"，单个热词不超过30个字符（最多10个汉字），权重[1-11]或者100，如：“腾讯云|5” 或 “ASR|11”；</li><li>临时热词表限制：多个热词用英文逗号分割，最多支持128个热词，如：“腾讯云|10,语音识别|5,ASR|11”；</li><ul><li>参数 hotword_id（热词表） 与 hotword_list（临时热词表） 区别：</li><ul><li>hotword_id：热词表。需要先在控制台或接口创建热词表，获得对应hotword_id传入参数来使用热词功能；</li><li>hotword_list：临时热词表。每次请求时直接传入临时热词表来使用热词功能，云端不保留临时热词表。适用于有极大量热词需求的用户；</li></ul></ul>注意：<li>如果同时传入了 hotword_id 和 hotword_list，只有 hotword_list 生效；</li><li>热词权重设置为11时，当前热词将升级为超级热词，建议仅将重要且必须生效的热词设置到11，设置过多权重为11的热词将影响整体字准率。</li><li>热词权重设置为100时，当前热词开启热词增强同音替换功能（仅支持8k_zh,16k_zh），举例：热词配置“蜜制|100”时，与“蜜制”同拼音（mizhi）的“秘制”的识别结果会被强制替换成“蜜制”。因此建议客户根据自己的实际情况开启该功能。建议仅将重要且必须生效的热词设置到100，设置过多权重为100的热词将影响整体字准率。</td> </tr> <tr> <td>input_sample_rate</td> <td>否</td> <td>Interge</td> <td>支持 pcm 格式的8k音频在与引擎采样率不匹配的情况下升采样到16k后识别，能有效提升识别准确率。仅支持：8000。如：传入 8000 ，则pcm音频采样率为8k，当引擎选用16k_zh， 那么该8k采样率的 pcm 音频可以在16k_zh引擎下正常识别。<br> 注：此参数仅适用于 pcm 格式音频，不传入值将维持默认状态，即默认调用的引擎采样率等于 pcm 音频采样率。</td> </tr> <tr> <td>emotion_recognition</td> <td>否</td> <td>Interge</td> <td>【增值付费功能】情绪识别能力（目前仅支持16k_zh,8k_zh）<br>0：不开启<br>1：开启情绪识别，但不在文本展示情绪标签<br>2：开启情绪识别，并且在文本展示情绪标签<br>默认值为0<br>支持的情绪分类为：高兴、伤心、愤怒<br><br>注意：<br>1. 本功能为增值服务，需将参数设置为1或2时方可按对应方式生效<br>2. 如果传入参数值1或2，需确保账号已购买情绪识别资源包，或账号开启后付费；若当前账号已开启后付费功能，并传入参数值1或2，将自动计费）<br>3. 参数设置为0时，无需购买资源包，也不会消耗情绪识别对应资源<br>示例值：0</td> </tr> </tbody></table> <p><strong>signature 签名生成</strong> <a id="sign"></a></p> <ol> <li>对除 signature 之外的所有参数按字典序进行排序，拼接请求 URL （不包含协议部分：wss://）作为签名原文，这里以 <code>Appid=125922***</code>，<code>SecretId=*****Qq1zhZMN8dv0******</code> 为例拼接签名原文，则拼接的签名原文为：</li> </ol> <p><pre><code><span class="hljs-attribute">asr</span>.cloud.tencent.com/asr/v2/<span class="hljs-number">125922</span>***?engine_model_type=<span class="hljs-number">16</span>k_zh&expired=<span class="hljs-number">1673494772</span>&needvad=<span class="hljs-number">1</span>&nonce=<span class="hljs-number">1673408372</span>&secretid=*****Qq1zhZMN8dv0******&timestamp=<span class="hljs-number">1673408372</span>&voice_format=<span class="hljs-number">1</span>&voice_id=c64385ee-<span class="hljs-number">3</span>e5c-<span class="hljs-number">4</span>fc5-bbfd-<span class="hljs-number">7</span>c71addb35b0</code></pre></p> <ol start="2"> <li>对签名原文使用 SecretKey 进行 HmacSha1 加密，之后再进行 base64 编码。例如对上一步的签名原文， <code>SecretKey=*****SkqpeHgqmSz*****</code>，使用 HmacSha1 算法进行加密并做 base64 编码处理：</li> </ol> <p><pre><code>Base64Encode<span class="hljs-params">(HmacSha1("asr.cloud.tencent.com/asr/v2/125922***?<span class="hljs-attr">engine_model_type</span>=16k_zh&<span class="hljs-attr">expired</span>=1673494772&<span class="hljs-attr">needvad</span>=1&<span class="hljs-attr">nonce</span>=1673408372&<span class="hljs-attr">secretid</span>=*****Qq1zhZMN8dv0******&<span class="hljs-attr">timestamp</span>=1673408372&<span class="hljs-attr">voice_format</span>=1&<span class="hljs-attr">voice_id</span>=c64385ee-3e5c-4fc5-bbfd-7c71addb35b0", "*****SkqpeHgqmSz*****")</span>)</code></pre></p> <p>得到 signature 签名值为：</p> <p><pre><code>G8jDQBRg1JfeBi/YnTjyjekxfDA<span class="hljs-operator">=</span></code></pre></p> <ol start="3"> <li>将 signature 值进行 <strong>urlencode（必须进行 URL 编码，否则将导致鉴权失败偶现</strong> ）后拼接得到最终请求 URL 为：</li> </ol> <p><pre><code><span class="hljs-attribute">wss</span>://asr.cloud.tencent.com/asr/v2/<span class="hljs-number">1259228442</span>?engine_model_type=<span class="hljs-number">16</span>k_zh&expired=<span class="hljs-number">1592380492</span>&filter_dirty=<span class="hljs-number">1</span>&filter_modal=<span class="hljs-number">1</span>&filter_punc=<span class="hljs-number">1</span>&needvad=<span class="hljs-number">1</span>&nonce=<span class="hljs-number">1592294092123</span>&secretid=AKID******************************<span class="hljs-number">0</span>r&timestamp=<span class="hljs-number">1592294092</span>&voice_format=<span class="hljs-number">1</span>&voice_id=c64385ee-<span class="hljs-number">3</span>e5c-<span class="hljs-number">4</span>fc5-bbfd-<span class="hljs-number">7</span>c71addb35b0&signature=HepdTRX6u155qIPKNKC%<span class="hljs-number">2</span>B3U0j1N0%<span class="hljs-number">3</span>D</code></pre></p> <h4 id="opus-.E9.9F.B3.E9.A2.91.E6.B5.81.E5.B0.81.E8.A3.85.E8.AF.B4.E6.98.8E-.3Ca-id.3D.22jump.22.3E.3C.2Fa.3E">Opus 音频流封装说明 <a id="jump"></a></h4><p>压缩 FrameSize 固定640，即一次压缩640 short，否则解压会失败。传到服务端可以是多帧的拼接组合，每一帧需满足下面格式。<br>每一帧压缩数据封装如下：</p> <table> <thead> <tr> <th>OpusHead（4字节）</th> <th>帧数据长度（2字节）</th> <th>Opus 一帧压缩数据</th> </tr> </thead> <tbody><tr> <td>opus</td> <td>长度 len</td> <td>对应 len 长的 opus decode data</td> </tr> </tbody></table> <h4 id=".E8.AF.B7.E6.B1.82.E5.93.8D.E5.BA.94">请求响应</h4><p>客户端发起连接请求后，后台建立连接并进行签名校验，校验成功则返回 code 值为0的确认消息表示握手成功；如果校验失败，后台返回 code 为非0值的消息并断开连接。</p> <p><pre><code> {"<span class="hljs-selector-tag">code</span>":<span class="hljs-number">0</span>,<span class="hljs-string">"message"</span>:<span class="hljs-string">"success"</span>,<span class="hljs-string">"voice_id"</span>:<span class="hljs-string">"RnKu9FODFHK5FPpsrN"</span>}</code></pre></p> <h3 id=".E8.AF.86.E5.88.AB.E9.98.B6.E6.AE.B5">识别阶段</h3><p>握手成功之后，进入识别阶段，客户端上传语音数据并接收识别结果消息。</p> <h4 id=".E4.B8.8A.E4.BC.A0.E6.95.B0.E6.8D.AE">上传数据</h4><p>在识别过程中，客户端持续上传 binary message 到后台，内容为音频流二进制数据。建议每40ms 发送40ms 时长（即1:1实时率）的数据包，对应 pcm 大小为：8k 采样率640字节，16k 采样率1280字节。音频发送速率过快超过1:1实时率或者音频数据包之间发送间隔超过6秒，可能导致引擎出错，后台将返回错误并主动断开连接。<br>音频流上传完成之后，客户端需发送以下内容的 text message，通知后台结束识别。</p> <p><pre><code><span class="hljs-punctuation">{</span><span class="hljs-attr">"type"</span><span class="hljs-punctuation">:</span> <span class="hljs-string">"end"</span><span class="hljs-punctuation">}</span></code></pre></p> <h4 id=".E6.8E.A5.E6.94.B6.E6.B6.88.E6.81.AF">接收消息</h4><p>客户端上传数据的过程中，需要同步接收后台返回的实时识别结果，结果示例：</p> <p><pre><code> {"<span class="hljs-selector-tag">code</span>":<span class="hljs-number">0</span>,<span class="hljs-string">"message"</span>:<span class="hljs-string">"success"</span>,<span class="hljs-string">"voice_id"</span>:<span class="hljs-string">"RnKu9FODFHK5FPpsrN"</span>,<span class="hljs-string">"message_id"</span>:<span class="hljs-string">"RnKu9FODFHK5FPpsrN_11_0"</span>,<span class="hljs-string">"result"</span>:{<span class="hljs-string">"slice_type"</span>:<span class="hljs-number">0</span>,<span class="hljs-string">"index"</span>:<span class="hljs-number">0</span>,<span class="hljs-string">"start_time"</span>:<span class="hljs-number">0</span>,<span class="hljs-string">"end_time"</span>:<span class="hljs-number">1240</span>,<span class="hljs-string">"voice_text_str"</span>:<span class="hljs-string">"实时"</span>,<span class="hljs-string">"word_size"</span>:<span class="hljs-number">0</span>,<span class="hljs-string">"word_list"</span>:[]}}</code></pre></p> <p><pre><code>{"<span class="hljs-selector-tag">code</span>":<span class="hljs-number">0</span>,<span class="hljs-string">"message"</span>:<span class="hljs-string">"success"</span>,<span class="hljs-string">"voice_id"</span>:<span class="hljs-string">"RnKu9FODFHK5FPpsrN"</span>,<span class="hljs-string">"message_id"</span>:<span class="hljs-string">"RnKu9FODFHK5FPpsrN_33_0"</span>,<span class="hljs-string">"result"</span>:{<span class="hljs-string">"slice_type"</span>:<span class="hljs-number">2</span>,<span class="hljs-string">"index"</span>:<span class="hljs-number">0</span>,<span class="hljs-string">"start_time"</span>:<span class="hljs-number">0</span>,<span class="hljs-string">"end_time"</span>:<span class="hljs-number">2840</span>,<span class="hljs-string">"voice_text_str"</span>:<span class="hljs-string">"实时语音识别"</span>,<span class="hljs-string">"word_size"</span>:<span class="hljs-number">0</span>,<span class="hljs-string">"word_list"</span>:[]}}</code></pre></p> <p>后台识别完所有上传的语音数据之后，最终返回 final 值为1的消息并断开连接。</p> <p><pre><code>{"<span class="hljs-selector-tag">code</span>":<span class="hljs-number">0</span>,<span class="hljs-string">"message"</span>:<span class="hljs-string">"success"</span>,<span class="hljs-string">"voice_id"</span>:<span class="hljs-string">"CzhjnqBkv8lk5pRUxhpX"</span>,<span class="hljs-string">"message_id"</span>:<span class="hljs-string">"CzhjnqBkv8lk5pRUxhpX_241"</span>,<span class="hljs-string">"final"</span>:<span class="hljs-number">1</span>}</code></pre></p> <p>识别过程中如果出现错误，后台返回 code 为非0值的消息并断开连接。</p> <p><pre><code>{"<span class="hljs-selector-tag">code</span>":<span class="hljs-number">4008</span>,<span class="hljs-string">"message"</span>:<span class="hljs-string">"后台识别服务器音频分片等待超时"</span>,<span class="hljs-string">"voice_id"</span>:<span class="hljs-string">"CzhjnqBkv8lk5pRUxhpX"</span>,<span class="hljs-string">"message_id"</span>:<span class="hljs-string">"CzhjnqBkv8lk5pRUxhpX_241"</span>}</code></pre></p> <h2 id=".E5.BC.80.E5.8F.91.E8.80.85.E8.B5.84.E6.BA.90">开发者资源</h2><h3 id="sdk">SDK</h3><ul> <li><a href="https://github.com/TencentCloud/tencentcloud-speech-sdk-go">Tencent Cloud Speech SDK for Go</a></li> <li><a href="https://github.com/TencentCloud/tencentcloud-speech-sdk-java">Tencent Cloud Speech SDK for Java</a></li> <li><a href="https://github.com/TencentCloud/tencentcloud-speech-sdk-cpp">Tencent Cloud Speech SDK for C++</a></li> <li><a href="https://github.com/TencentCloud/tencentcloud-speech-sdk-python">Tencent Cloud Speech SDK for Python</a></li> <li><a href="https://github.com/TencentCloud/tencentcloud-speech-sdk-js">Tencent Cloud Speech SDK for JS</a></li> <li><a href="https://github.com/TencentCloud/tencentcloud-speech-sdk-dotnet">Tencent Cloud Speech SDK for C#</a></li> </ul> <h3 id="sdk-.E8.B0.83.E7.94.A8.E7.A4.BA.E4.BE.8B">SDK 调用示例</h3><ul> <li><a href="https://github.com/TencentCloud/tencentcloud-speech-sdk-go/blob/master/examples/asrexample/asrexample.go">Golang 示例</a> </li> <li><a href="https://github.com/TencentCloud/tencentcloud-speech-sdk-java-example/blob/main/src/main/java/com/tencentcloud/asrv2/RtDemo.java">Java 示例</a> </li> <li><a href="https://github.com/TencentCloud/tencentcloud-speech-sdk-cpp/blob/master/examples/asr_example.cpp">C++ 示例</a> </li> <li><a href="https://github.com/TencentCloud/tencentcloud-speech-sdk-python/blob/master/examples/asr/asrexample.py">Python 示例</a> </li> <li><a href="https://github.com/TencentCloud/tencentcloud-speech-sdk-js/tree/main/examples">JS 示例</a></li> <li><a href="https://github.com/TencentCloud/tencentcloud-speech-sdk-dotnet/tree/main/examples/realtime-asr">C# 示例</a> </li> </ul> <h2 id=".E9.94.99.E8.AF.AF.E7.A0.81">错误码</h2><table> <thead> <tr> <th>数值</th> <th>说明</th> </tr> </thead> <tbody><tr> <td>4000</td> <td>音频数据发送过多，请1秒内最多发送3秒音频数据<br>注：实时识别的效果是“边说边出文字”，1秒内发送的音频数据总时长应为1秒</td> </tr> <tr> <td>4001</td> <td>参数不合法，具体详情参考 message</td> </tr> <tr> <td>4002</td> <td>鉴权失败</td> </tr> <tr> <td>4003</td> <td>AppID 服务未开通，请在控制台开通服务</td> </tr> <tr> <td>4004</td> <td>资源包耗尽，请开通后付费或者购买资源包</td> </tr> <tr> <td>4005</td> <td>账户欠费停止服务，请及时充值</td> </tr> <tr> <td>4006</td> <td>账号当前调用并发超限</td> </tr> <tr> <td>4007</td> <td>音频解码失败，请检查上传音频数据格式与调用参数一致</td> </tr> <tr> <td>4008</td> <td>客户端超过15秒未发送音频数据</td> </tr> <tr> <td>4009</td> <td>客户端连接断开</td> </tr> <tr> <td>4010</td> <td>客户端上传未知文本消息</td> </tr> <tr> <td>5000</td> <td>因机器负载过高、网络抖动等导致失败，请重新发起新识别<br>注：该问题通常为偶发，少量出现可忽略，发起新识别即可</td> </tr> <tr> <td>5001</td> <td>因机器负载过高、网络抖动等导致失败，请重新发起新识别<br>注：该问题通常为偶发，少量出现可忽略，发起新识别即可</td> </tr> <tr> <td>5002</td> <td>因机器负载过高、网络抖动等导致失败，请重新发起新识别<br>注：该问题通常为偶发，少量出现可忽略，发起新识别即可</td> </tr> <tr> <td>6001</td> <td>境外调用请单击 <a href="https://www.tencentcloud.com/zh/products/asr">腾讯云国际站</a> 开通服务。国内站用户请检查是否使用境外代理，如果使用请关闭。</td> </tr> <tr> <td></li></td> <td></td> </tr> </tbody></table> </div></div></div><script type="text/template" id="codeTemplate" data-type="code"> <div class="rno-code-wrap"> <div class="rno-code J-markdownCode"> <div class="rno-code-hd"> <ul class="rno-code-tab J-language"> <!--展示语言列表--> </ul> </div> <div class="rno-code-bd markdown-code-bd J-codeBox"> <div class="rno-code-toolbars J-codeToolbar"> <a data-bypass-xhr="1" class="rno-code-toolbars-copy J-copyContent"></a> <div class="code-dropdown 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\u003cblockquote class=\\\"d-mod-explain\\\"\u003e\\n \u003cdiv class=\\\"d-mod-title d-explain-title\\\"\u003e\\n \u003ci class=\\\"d-icon-explain\\\"\u003e\u003c/i\u003e说明：\\n \u003c/div\u003e\\n \u003cp\u003e此接口为 API 2.0 版本，在参数风格、错误码等方面有区别于 API 3.0 版本，请知悉。\u003c/p\u003e\\n\\n \u003c/blockquote\u003e\\n \u003ch2 id=\\\".E6.8E.A5.E5.8F.A3.E6.8F.8F.E8.BF.B0\\\"\u003e接口描述\u003c/h2\u003e\u003cp\u003e本接口服务采用 websocket 协议，对实时音频流进行识别，同步返回识别结果，达到“边说边出文字”的效果。\u003cbr\u003e在使用该接口前，需要 \u003ca href=\\\"https://cloud.tencent.com/document/product/1093/54362\\\"\u003e开通语音识别服务\u003c/a\u003e，并进入 \u003ca href=\\\"https://console.cloud.tencent.com/cam/capi\\\"\u003eAPI 密钥管理页面\u003c/a\u003e 新建密钥，生成 AppID、SecretID 和 SecretKey，用于 API 调用时生成签名，签名将用来进行接口鉴权。\u003c/p\u003e\\n\u003ch2 id=\\\".E6.8E.A5.E5.8F.A3.E8.A6.81.E6.B1.82\\\"\u003e接口要求\u003c/h2\u003e\u003cp\u003e集成实时语音识别 API 时，需按照以下要求。\u003c/p\u003e\\n\u003ctable\u003e\\n\u003cthead\u003e\\n\u003ctr\u003e\\n\u003cth\u003e内容\u003c/th\u003e\\n\u003cth\u003e说明\u003c/th\u003e\\n\u003c/tr\u003e\\n\u003c/thead\u003e\\n\u003ctbody\u003e\u003ctr\u003e\\n\u003ctd\u003e语言种类\u003c/td\u003e\\n\u003ctd\u003e支持中文普通话、粤语、英语、韩语、日语、泰语、印度尼西亚语、越南语、马来语、菲律宾语、葡萄牙语、土耳其语、阿拉伯语、西班牙语、印地语、法语、德语、上海话、四川话、武汉话、贵阳话、昆明话、西安话、郑州话、太原话、兰州话、银川话、西宁话、南京话、合肥话、南昌话、长沙话、苏州话、杭州话、济南话、天津话、石家庄话、黑龙江话、吉林话、辽宁话。可通过接口参数 engine_model_type 设置对应语言类型\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003e支持行业\u003c/td\u003e\\n\u003ctd\u003e通用、金融、游戏、教育、医疗\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003e音频属性\u003c/td\u003e\\n\u003ctd\u003e采样率：16000Hz或8000Hz\u003cbr\u003e采样精度：16bits\u003cbr\u003e声道：单声道（mono）\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003e音频格式\u003c/td\u003e\\n\u003ctd\u003epcm、wav、opus、speex、silk、mp3、m4a、aac\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003e请求协议\u003c/td\u003e\\n\u003ctd\u003ewss 协议\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003e请求地址\u003c/td\u003e\\n\u003ctd\u003ewss://asr.cloud.tencent.com/asr/v2/\u0026lt;appid\u0026gt;?{请求参数}\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003e接口鉴权\u003c/td\u003e\\n\u003ctd\u003e签名鉴权机制，详见 \u003ca href=\\\"#sign\\\"\u003e签名生成\u003c/a\u003e\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003e响应格式\u003c/td\u003e\\n\u003ctd\u003e统一采用 JSON 格式\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003e数据发送\u003c/td\u003e\\n\u003ctd\u003e建议每40ms 发送40ms 时长（即1:1实时率）的数据包，对应 pcm 大小为：8k 采样率640字节，16k 采样率1280字节\u003cbr\u003e音频发送速率过快超过1:1实时率或者音频数据包之间发送间隔超过6秒，可能导致引擎出错，后台将返回错误并主动断开连接\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003e并发限制\u003c/td\u003e\\n\u003ctd\u003e默认单账号限制并发数为200路，如您有提高并发限制的需求，请 \u003ca href=\\\"https://buy.cloud.tencent.com/asr\\\"\u003e前往购买\u003c/a\u003e。\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003c/tbody\u003e\u003c/table\u003e\\n\u003ch2 id=\\\".E6.8E.A5.E5.8F.A3.E8.B0.83.E7.94.A8.E6.B5.81.E7.A8.8B\\\"\u003e接口调用流程\u003c/h2\u003e\u003cp\u003e接口调用流程分为两个阶段：握手阶段和识别阶段。两阶段后台均返回 text message，内容为 json 序列化字符串，以下是格式说明：\u003c/p\u003e\\n\u003ctable\u003e\\n\u003cthead\u003e\\n\u003ctr\u003e\\n\u003cth\u003e字段名\u003c/th\u003e\\n\u003cth\u003e类型\u003c/th\u003e\\n\u003cth\u003e描述\u003c/th\u003e\\n\u003c/tr\u003e\\n\u003c/thead\u003e\\n\u003ctbody\u003e\u003ctr\u003e\\n\u003ctd\u003ecode\u003c/td\u003e\\n\u003ctd\u003eInteger\u003c/td\u003e\\n\u003ctd\u003e状态码，0代表正常，非0值表示发生错误\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003emessage\u003c/td\u003e\\n\u003ctd\u003eString\u003c/td\u003e\\n\u003ctd\u003e错误说明，发生错误时显示这个错误发生的具体原因，随着业务发展或体验优化，此文本可能会经常保持变更或更新\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003evoice_id\u003c/td\u003e\\n\u003ctd\u003eString\u003c/td\u003e\\n\u003ctd\u003e音频流全局唯一标识，一个 websocket 连接对应一个，用户自己生成（推荐使用 uuid），最长128位\u003cbr\u003e\u003cbr\u003e注意：每次建立 websocket 连接都必须重新生成 voice_id，任何情况下中断了识别或者websocket连接(如连接失败、正常结束、识别返回错误码等)，voice_id 作废，重新发起识别必须使用新的 voice_id\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003emessage_id\u003c/td\u003e\\n\u003ctd\u003eString\u003c/td\u003e\\n\u003ctd\u003e本 message 唯一 id\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003eresult\u003c/td\u003e\\n\u003ctd\u003eResult\u003c/td\u003e\\n\u003ctd\u003e最新语音识别结果\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003efinal\u003c/td\u003e\\n\u003ctd\u003eInteger\u003c/td\u003e\\n\u003ctd\u003e该字段返回1时表示音频流全部识别结束\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003c/tbody\u003e\u003c/table\u003e\\n\u003cp\u003e其中识别结果 Result 结构体格式为：\u003c/p\u003e\\n\u003ctable\u003e\\n\u003cthead\u003e\\n\u003ctr\u003e\\n\u003cth\u003e字段名\u003c/th\u003e\\n\u003cth\u003e类型\u003c/th\u003e\\n\u003cth\u003e描述\u003c/th\u003e\\n\u003c/tr\u003e\\n\u003c/thead\u003e\\n\u003ctbody\u003e\u003ctr\u003e\\n\u003ctd\u003eslice_type\u003c/td\u003e\\n\u003ctd\u003eInteger\u003c/td\u003e\\n\u003ctd\u003e识别结果类型：\u003cli\u003e0：一段话开始识别\u003c/li\u003e\u003cli\u003e1：一段话识别中，voice_text_str 为非稳态结果(该段识别结果还可能变化)\u003c/li\u003e\u003cli\u003e2：一段话识别结束，voice_text_str 为稳态结果(该段识别结果不再变化)\u003cbr\u003e根据发送的音频情况，识别过程中可能返回的 slice_type 序列有：\u003c/li\u003e\u003cli\u003e0-1-2：一段话开始识别、识别中(可能有多次1返回)、识别结束\u003c/li\u003e\u003cli\u003e0-2：一段话开始识别、识别结束\u003c/li\u003e\u003cli\u003e2：直接返回一段话完整的识别结果\u003cbr\u003e\u003cstrong\u003e注意：\u003c/strong\u003e如果需要0和2配对返回，需要设置filter_empty_result=0（slice_type=0时，识别结果可能为空，默认是不返回空识别结果的）。一般在外呼场景需要配对返回，通过slice_type=0来判断是否有人声出现。\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003eindex\u003c/td\u003e\\n\u003ctd\u003eInteger\u003c/td\u003e\\n\u003ctd\u003e当前一段话结果在整个音频流中的序号，从0开始逐句递增\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003estart_time\u003c/td\u003e\\n\u003ctd\u003eInteger\u003c/td\u003e\\n\u003ctd\u003e当前一段话结果在整个音频流中的起始时间\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003eend_time\u003c/td\u003e\\n\u003ctd\u003eInteger\u003c/td\u003e\\n\u003ctd\u003e当前一段话结果在整个音频流中的结束时间\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003evoice_text_str\u003c/td\u003e\\n\u003ctd\u003eString\u003c/td\u003e\\n\u003ctd\u003e当前一段话文本结果，编码为 UTF8\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003eword_size\u003c/td\u003e\\n\u003ctd\u003eInteger\u003c/td\u003e\\n\u003ctd\u003e当前一段话的词结果个数\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003eword_list\u003c/td\u003e\\n\u003ctd\u003eWord Array\u003c/td\u003e\\n\u003ctd\u003e当前一段话的词列表，Word 结构体格式为：\u003cbr\u003eword：String 类型，该词的内容\u003cbr\u003estart_time：Integer 类型，该词在整个音频流中的起始时间\u003cbr\u003eend_time：Integer 类型，该词在整个音频流中的结束时间\u003cbr\u003estable_flag：Integer 类型，该词的稳态结果，0表示该词在后续识别中可能发生变化，1表示该词在后续识别过程中不会变化\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003c/tbody\u003e\u003c/table\u003e\\n\u003ch3 id=\\\".E6.8F.A1.E6.89.8B.E9.98.B6.E6.AE.B5\\\"\u003e握手阶段\u003c/h3\u003e\u003ch4 id=\\\".E8.AF.B7.E6.B1.82.E6.A0.BC.E5.BC.8F\\\"\u003e请求格式\u003c/h4\u003e\u003cp\u003e握手阶段，客户端主动发起 websocket 连接请求，请求 URL 格式为：\u003c/p\u003e\\n\u003cp\u003e\u003cpre\u003e\u003ccode\u003ewss:\u003cspan class=\\\"hljs-regexp\\\"\u003e//\u003c/span\u003easr.cloud.tencent.com\u003cspan class=\\\"hljs-regexp\\\"\u003e/asr/\u003c/span\u003ev2/\u0026lt;appid\u0026gt;?{请求参数}\u003c/code\u003e\u003c/pre\u003e\u003c/p\u003e\\n\u003cp\u003e其中\u0026lt;appid\u0026gt;需替换为腾讯云注册账号的 AppID，可通过 \u003ca href=\\\"https://console.cloud.tencent.com/cam/capi\\\"\u003eAPI 密钥管理页面\u003c/a\u003e 获取，{请求参数}格式为\u003c/p\u003e\\n\u003cp\u003e\u003cpre\u003e\u003ccode\u003e\u003cspan class=\\\"hljs-attr\\\"\u003ekey1\u003c/span\u003e=value2\u0026amp;key2=value2...(key 和 value 都需要进行 urlencode)\u003c/code\u003e\u003c/pre\u003e\u003c/p\u003e\\n\u003cp\u003e参数说明：\u003c/p\u003e\\n\u003ctable\u003e\\n\u003cthead\u003e\\n\u003ctr\u003e\\n\u003cth\u003e参数名称\u003c/th\u003e\\n\u003cth\u003e必填\u003c/th\u003e\\n\u003cth\u003e类型\u003c/th\u003e\\n\u003cth\u003e描述\u003c/th\u003e\\n\u003c/tr\u003e\\n\u003c/thead\u003e\\n\u003ctbody\u003e\u003ctr\u003e\\n\u003ctd\u003esecretid\u003c/td\u003e\\n\u003ctd\u003e是\u003c/td\u003e\\n\u003ctd\u003eString\u003c/td\u003e\\n\u003ctd\u003e腾讯云注册账号的密钥 SecretId，可通过 \u003ca href=\\\"https://console.cloud.tencent.com/cam/capi\\\"\u003eAPI 密钥管理页面\u003c/a\u003e 获取\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003etimestamp\u003c/td\u003e\\n\u003ctd\u003e是\u003c/td\u003e\\n\u003ctd\u003eInteger\u003c/td\u003e\\n\u003ctd\u003e当前 UNIX 时间戳，单位为秒。如果与当前时间相差过大，会引起签名过期错误\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003eexpired\u003c/td\u003e\\n\u003ctd\u003e是\u003c/td\u003e\\n\u003ctd\u003eInteger\u003c/td\u003e\\n\u003ctd\u003e签名的有效期截止时间 UNIX 时间戳，单位为秒。expired 必须大于 timestamp 且 expired - timestamp 小于90天\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003enonce\u003c/td\u003e\\n\u003ctd\u003e是\u003c/td\u003e\\n\u003ctd\u003eInteger\u003c/td\u003e\\n\u003ctd\u003e随机正整数。用户需自行生成，最长10位\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003eengine_model_type\u003c/td\u003e\\n\u003ctd\u003e是\u003c/td\u003e\\n\u003ctd\u003eString\u003c/td\u003e\\n\u003ctd\u003e引擎模型类型\u003cbr\u003e识别引擎采用分级计费方案，标记为“大模型版”的引擎适用大模型计费方案，\u003ca href=\\\"https://cloud.tencent.com/document/product/1093/35686\\\"\u003e点击这里\u003c/a\u003e 查看产品计费说明。\u003cbr\u003e电话场景：\u003c/li\u003e\u003cli\u003e8k_zh：中文电话通用；\u003c/li\u003e\u003cli\u003e8k_en：英文电话通用；\u003c/li\u003e\u003cli\u003e\u003cstrong\u003e8k_zh_large\u003c/strong\u003e：普方大模型引擎【大模型版】。当前模型同时支持中文、\u003ca href=\\\"https://cloud.tencent.com/document/product/1093/35682\\\"\u003e多种中文方言\u003c/a\u003e等语言的识别，模型参数量极大，语言模型性能增强，针对电话音频中各类场景、各类中文方言的识别准确率极大提升。\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e注意\u003c/strong\u003e：如您有电话通讯场景识别需求，但发现需求语种仅支持16k，可将 input_sample_rate 参数设置为8000，使用下方16k引擎，亦能获取识别结果。但16k引擎并非基于电话通讯数据训练，无法承诺此种调用方式在电话场景下的识别效果，需由您自行验证识别结果是否可用。\u003cbr\u003e\u003cbr\u003e非电话场景：\u003c/li\u003e\u003cli\u003e\u003cstrong\u003e16k_zh_large\u003c/strong\u003e：普方英大模型引擎【大模型版】。当前模型同时支持中文、英文、\u003ca href=\\\"https://cloud.tencent.com/document/product/1093/35682\\\"\u003e多种中文方言\u003c/a\u003e等语言的识别，模型参数量极大，语言模型性能增强，针对噪声大、回音大、人声小、人声远等低质量音频的识别准确率极大提升;\u003c/li\u003e\u003cli\u003e\u003cstrong\u003e16k_multi_lang\u003c/strong\u003e：多语种大模型引擎【大模型版】。当前模型同时支持英语、日语、韩语、阿拉伯语、菲律宾语、法语、印地语、印尼语、马来语、葡萄牙语、西班牙语、泰语、土耳其语、越南语、德语的识别，可实现15个语种的自动识别(句子/段落级别)；\u003c/li\u003e\u003cli\u003e\u003cstrong\u003e16k_zh_en\u003c/strong\u003e：中英大模型引擎【大模型版】。当前模型同时支持中文、英语识别，模型参数量极大，语言模型性能增强，针对噪声大、回音大、人声小、人声远等低质量音频的识别准确率极大提升;\u003c/li\u003e\u003cli\u003e16k_zh：中文通用；\u003c/li\u003e\u003cli\u003e16k_zh-PY：中英粤；\u003c/li\u003e\u003cli\u003e16k_zh-TW：中文繁体；\u003c/li\u003e\u003cli\u003e16k_zh_edu：中文教育；\u003c/li\u003e\u003cli\u003e16k_zh_medical：中文医疗；\u003c/li\u003e\u003cli\u003e16k_zh_court：中文法庭；\u003c/li\u003e\u003cli\u003e16k_yue：粤语；\u003c/li\u003e\u003cli\u003e16k_en：英文通用；\u003c/li\u003e\u003cli\u003e16k_en_game：英文游戏；\u003c/li\u003e\u003cli\u003e16k_en_edu：英文教育；\u003c/li\u003e\u003cli\u003e16k_ko：韩语；\u003c/li\u003e\u003cli\u003e16k_ja：日语；\u003c/li\u003e\u003cli\u003e16k_th：泰语；\u003c/li\u003e\u003cli\u003e16k_id：印度尼西亚语；\u003c/li\u003e\u003cli\u003e16k_vi：越南语；\u003c/li\u003e\u003cli\u003e16k_ms: 马来语；\u003c/li\u003e\u003cli\u003e16k_fil: 菲律宾语；\u003c/li\u003e\u003cli\u003e16k_pt：葡萄牙语；\u003c/li\u003e\u003cli\u003e16k_tr：土耳其语；\u003c/li\u003e\u003cli\u003e16k_ar：阿拉伯语；\u003c/li\u003e\u003cli\u003e16k_es: 西班牙语；\u003c/li\u003e\u003cli\u003e16k_hi: 印地语；\u003c/li\u003e\u003cli\u003e16k_fr：法语；\u003c/li\u003e\u003cli\u003e16k_de：德语；\u003c/li\u003e\u003cli\u003e 16k_zh_dialect：中文普通话+多方言混合引擎，除普通话外支持23种方言（上海话、四川话、武汉话、贵阳话、昆明话、西安话、郑州话、太原话、兰州话、银川话、西宁话、南京话、合肥话、南昌话、长沙话、苏州话、杭州话、济南话、天津话、石家庄话、黑龙江话、吉林话、辽宁话）；\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003evoice_id\u003c/td\u003e\\n\u003ctd\u003e是\u003c/td\u003e\\n\u003ctd\u003eString\u003c/td\u003e\\n\u003ctd\u003e音频流全局唯一标识，一个 websocket 连接对应一个，用户自己生成（推荐使用 uuid），最长128位\u003cbr\u003e\u003cbr\u003e注意：每次建立 websocket 连接都必须重新生成 voice_id，任何情况下中断了识别或者websocket连接(如连接失败、正常结束、识别返回错误码等)，voice_id 作废，重新发起识别必须使用新的 voice_id\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003evoice_format\u003c/td\u003e\\n\u003ctd\u003e否\u003c/td\u003e\\n\u003ctd\u003eInt\u003c/td\u003e\\n\u003ctd\u003e语音编码方式，可选，默认值为4。1：pcm；4：speex(sp)；6：silk；8：mp3；10：opus（\u003ca href=\\\"#jump\\\"\u003eopus 格式音频流封装说明\u003c/a\u003e）；12：wav；14：m4a（每个分片须是一个完整的 m4a 音频）；16：aac\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003eneedvad\u003c/td\u003e\\n\u003ctd\u003e否\u003c/td\u003e\\n\u003ctd\u003eInteger\u003c/td\u003e\\n\u003ctd\u003e0：关闭 vad，1：开启 vad，默认为0。\u003cbr\u003e为保证识别效果，如果语音分片长度超过60秒，会强制在60s断一次，建议客户音频超过60s时，开启 vad（人声检测切分功能），提升切分效果。\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003ehotword_id\u003c/td\u003e\\n\u003ctd\u003e否\u003c/td\u003e\\n\u003ctd\u003eString\u003c/td\u003e\\n\u003ctd\u003e热词表 id。如不设置该参数，自动生效默认热词表；如果设置了该参数，那么将生效对应的热词表\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003ecustomization_id\u003c/td\u003e\\n\u003ctd\u003e否\u003c/td\u003e\\n\u003ctd\u003eString\u003c/td\u003e\\n\u003ctd\u003e自学习模型 id。如设置了该参数，将生效对应的自学习模型\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003efilter_dirty\u003c/td\u003e\\n\u003ctd\u003e否\u003c/td\u003e\\n\u003ctd\u003eInteger\u003c/td\u003e\\n\u003ctd\u003e是否过滤脏词（目前支持中文普通话引擎）。默认为0。0：不过滤脏词；1：过滤脏词；2：将脏词替换为“ * ”\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003efilter_modal\u003c/td\u003e\\n\u003ctd\u003e否\u003c/td\u003e\\n\u003ctd\u003eInteger\u003c/td\u003e\\n\u003ctd\u003e是否过滤语气词（目前支持中文普通话引擎）。默认为0。0：不过滤语气词；1：部分过滤；2：严格过滤\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003efilter_punc\u003c/td\u003e\\n\u003ctd\u003e否\u003c/td\u003e\\n\u003ctd\u003eInteger\u003c/td\u003e\\n\u003ctd\u003e是否过滤句末的句号（目前支持中文普通话引擎）。默认为0。0：不过滤句末的句号；1：过滤句末的句号\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003efilter_empty_result\u003c/td\u003e\\n\u003ctd\u003e否\u003c/td\u003e\\n\u003ctd\u003eInteger\u003c/td\u003e\\n\u003ctd\u003e是否回调识别空结果，默认为1。0：回调空结果；1：不回调空结果;\u003cbr\u003e\u003cstrong\u003e注意：\u003c/strong\u003e如果需要slice_type=0和slice_type=2配对回调，需要设置filter_empty_result=0。一般在外呼场景需要配对返回，通过slice_type=0来判断是否有人声出现。\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003econvert_num_mode\u003c/td\u003e\\n\u003ctd\u003e否\u003c/td\u003e\\n\u003ctd\u003eInteger\u003c/td\u003e\\n\u003ctd\u003e是否进行阿拉伯数字智能转换（目前支持中文普通话引擎）。0：不转换，直接输出中文数字，1：根据场景智能转换为阿拉伯数字，3: 打开数学相关数字转换。默认值为1\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003eword_info\u003c/td\u003e\\n\u003ctd\u003e否\u003c/td\u003e\\n\u003ctd\u003eInt\u003c/td\u003e\\n\u003ctd\u003e是否显示词级别时间戳。0：不显示；1：显示，不包含标点时间戳，2：显示，包含标点时间戳。支持引擎 8k_en、8k_zh、8k_zh_finance、16k_zh、16k_en、16k_ca、16k_zh-TW、16k_ja、16k_wuu-SH、8k_zh_large、16k_zh_large，默认为0\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003evad_silence_time\u003c/td\u003e\\n\u003ctd\u003e否\u003c/td\u003e\\n\u003ctd\u003eInteger\u003c/td\u003e\\n\u003ctd\u003e语音断句检测阈值，静音时长超过该阈值会被认为断句（多用在智能客服场景，需配合 needvad = 1 使用），取值范围：240-2000（默认1000），单位 ms，此参数建议不要随意调整，可能会影响识别效果，目前仅支持 8k_zh、8k_zh_finance、16k_zh、8k_zh_large、16k_zh_large 引擎模型\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003emax_speak_time\u003c/td\u003e\\n\u003ctd\u003e否\u003c/td\u003e\\n\u003ctd\u003eInteger\u003c/td\u003e\\n\u003ctd\u003e强制断句功能，取值范围 5000-90000(单位:毫秒），默认值60000。 在连续说话不间断情况下，该参数将实现强制断句（此时结果变成稳态，slice_type=2）。如：游戏解说场景，解说员持续不间断解说，无法断句的情况下，将此参数设置为10000，则将在每10秒收到 slice_type=2 的回调。 （目前仅支持8k_zh、16k_zh、8k_zh_large、16k_zh_large 引擎）\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003enoise_threshold\u003c/td\u003e\\n\u003ctd\u003e否\u003c/td\u003e\\n\u003ctd\u003eFloat\u003c/td\u003e\\n\u003ctd\u003e噪音参数阈值，默认为0，取值范围：[-1,1]，对于一些音频片段，取值越大，判定为噪音情况越大。取值越小，判定为人声情况越大。\u003cbr\u003e\u003cstrong\u003e慎用：可能影响识别效果\u003c/strong\u003e\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003esignature\u003c/td\u003e\\n\u003ctd\u003e是\u003c/td\u003e\\n\u003ctd\u003eString\u003c/td\u003e\\n\u003ctd\u003e接口签名参数\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003ehotword_list\u003c/td\u003e\\n\u003ctd\u003e否\u003c/td\u003e\\n\u003ctd\u003eString\u003c/td\u003e\\n\u003ctd\u003e临时热词表：该参数用于提升识别准确率。\u003c/li\u003e\u003cli\u003e单个热词限制：\u0026quot;热词|权重\u0026quot;，单个热词不超过30个字符（最多10个汉字），权重[1-11]或者100，如：“腾讯云|5” 或 “ASR|11”；\u003c/li\u003e\u003cli\u003e临时热词表限制：多个热词用英文逗号分割，最多支持128个热词，如：“腾讯云|10,语音识别|5,ASR|11”；\u003c/li\u003e\u003cul\u003e\u003cli\u003e参数 hotword_id（热词表） 与 hotword_list（临时热词表） 区别：\u003c/li\u003e\u003cul\u003e\u003cli\u003ehotword_id：热词表。需要先在控制台或接口创建热词表，获得对应hotword_id传入参数来使用热词功能；\u003c/li\u003e\u003cli\u003ehotword_list：临时热词表。每次请求时直接传入临时热词表来使用热词功能，云端不保留临时热词表。适用于有极大量热词需求的用户；\u003c/li\u003e\u003c/ul\u003e\u003c/ul\u003e注意：\u003cli\u003e如果同时传入了 hotword_id 和 hotword_list，只有 hotword_list 生效；\u003c/li\u003e\u003cli\u003e热词权重设置为11时，当前热词将升级为超级热词，建议仅将重要且必须生效的热词设置到11，设置过多权重为11的热词将影响整体字准率。\u003c/li\u003e\u003cli\u003e热词权重设置为100时，当前热词开启热词增强同音替换功能（仅支持8k_zh,16k_zh），举例：热词配置“蜜制|100”时，与“蜜制”同拼音（mizhi）的“秘制”的识别结果会被强制替换成“蜜制”。因此建议客户根据自己的实际情况开启该功能。建议仅将重要且必须生效的热词设置到100，设置过多权重为100的热词将影响整体字准率。\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003einput_sample_rate\u003c/td\u003e\\n\u003ctd\u003e否\u003c/td\u003e\\n\u003ctd\u003eInterge\u003c/td\u003e\\n\u003ctd\u003e支持 pcm 格式的8k音频在与引擎采样率不匹配的情况下升采样到16k后识别，能有效提升识别准确率。仅支持：8000。如：传入 8000 ，则pcm音频采样率为8k，当引擎选用16k_zh， 那么该8k采样率的 pcm 音频可以在16k_zh引擎下正常识别。\u003cbr\u003e 注：此参数仅适用于 pcm 格式音频，不传入值将维持默认状态，即默认调用的引擎采样率等于 pcm 音频采样率。\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003eemotion_recognition\u003c/td\u003e\\n\u003ctd\u003e否\u003c/td\u003e\\n\u003ctd\u003eInterge\u003c/td\u003e\\n\u003ctd\u003e【增值付费功能】情绪识别能力（目前仅支持16k_zh,8k_zh）\u003cbr\u003e0：不开启\u003cbr\u003e1：开启情绪识别，但不在文本展示情绪标签\u003cbr\u003e2：开启情绪识别，并且在文本展示情绪标签\u003cbr\u003e默认值为0\u003cbr\u003e支持的情绪分类为：高兴、伤心、愤怒\u003cbr\u003e\u003cbr\u003e注意：\u003cbr\u003e1. 本功能为增值服务，需将参数设置为1或2时方可按对应方式生效\u003cbr\u003e2. 如果传入参数值1或2，需确保账号已购买情绪识别资源包，或账号开启后付费；若当前账号已开启后付费功能，并传入参数值1或2，将自动计费）\u003cbr\u003e3. 参数设置为0时，无需购买资源包，也不会消耗情绪识别对应资源\u003cbr\u003e示例值：0\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003c/tbody\u003e\u003c/table\u003e\\n\u003cp\u003e\u003cstrong\u003esignature 签名生成\u003c/strong\u003e \u003ca id=\\\"sign\\\"\u003e\u003c/a\u003e\u003c/p\u003e\\n\u003col\u003e\\n\u003cli\u003e对除 signature 之外的所有参数按字典序进行排序，拼接请求 URL （不包含协议部分：wss://）作为签名原文，这里以 \u003ccode\u003eAppid=125922***\u003c/code\u003e，\u003ccode\u003eSecretId=*****Qq1zhZMN8dv0******\u003c/code\u003e 为例拼接签名原文，则拼接的签名原文为：\u003c/li\u003e\\n\u003c/ol\u003e\\n\u003cp\u003e\u003cpre\u003e\u003ccode\u003e\u003cspan class=\\\"hljs-attribute\\\"\u003easr\u003c/span\u003e.cloud.tencent.com/asr/v2/\u003cspan class=\\\"hljs-number\\\"\u003e125922\u003c/span\u003e***?engine_model_type=\u003cspan class=\\\"hljs-number\\\"\u003e16\u003c/span\u003ek_zh\u0026amp;expired=\u003cspan class=\\\"hljs-number\\\"\u003e1673494772\u003c/span\u003e\u0026amp;needvad=\u003cspan class=\\\"hljs-number\\\"\u003e1\u003c/span\u003e\u0026amp;nonce=\u003cspan class=\\\"hljs-number\\\"\u003e1673408372\u003c/span\u003e\u0026amp;secretid=*****Qq1zhZMN8dv0******\u0026amp;timestamp=\u003cspan class=\\\"hljs-number\\\"\u003e1673408372\u003c/span\u003e\u0026amp;voice_format=\u003cspan class=\\\"hljs-number\\\"\u003e1\u003c/span\u003e\u0026amp;voice_id=c64385ee-\u003cspan class=\\\"hljs-number\\\"\u003e3\u003c/span\u003ee5c-\u003cspan class=\\\"hljs-number\\\"\u003e4\u003c/span\u003efc5-bbfd-\u003cspan class=\\\"hljs-number\\\"\u003e7\u003c/span\u003ec71addb35b0\u003c/code\u003e\u003c/pre\u003e\u003c/p\u003e\\n\u003col start=\\\"2\\\"\u003e\\n\u003cli\u003e对签名原文使用 SecretKey 进行 HmacSha1 加密，之后再进行 base64 编码。例如对上一步的签名原文， \u003ccode\u003eSecretKey=*****SkqpeHgqmSz*****\u003c/code\u003e，使用 HmacSha1 算法进行加密并做 base64 编码处理：\u003c/li\u003e\\n\u003c/ol\u003e\\n\u003cp\u003e\u003cpre\u003e\u003ccode\u003eBase64Encode\u003cspan class=\\\"hljs-params\\\"\u003e(HmacSha1(\u0026quot;asr.cloud.tencent.com/asr/v2/125922***?\u003cspan class=\\\"hljs-attr\\\"\u003eengine_model_type\u003c/span\u003e=16k_zh\u0026amp;\u003cspan class=\\\"hljs-attr\\\"\u003eexpired\u003c/span\u003e=1673494772\u0026amp;\u003cspan class=\\\"hljs-attr\\\"\u003eneedvad\u003c/span\u003e=1\u0026amp;\u003cspan class=\\\"hljs-attr\\\"\u003enonce\u003c/span\u003e=1673408372\u0026amp;\u003cspan class=\\\"hljs-attr\\\"\u003esecretid\u003c/span\u003e=*****Qq1zhZMN8dv0******\u0026amp;\u003cspan class=\\\"hljs-attr\\\"\u003etimestamp\u003c/span\u003e=1673408372\u0026amp;\u003cspan class=\\\"hljs-attr\\\"\u003evoice_format\u003c/span\u003e=1\u0026amp;\u003cspan class=\\\"hljs-attr\\\"\u003evoice_id\u003c/span\u003e=c64385ee-3e5c-4fc5-bbfd-7c71addb35b0\u0026quot;, \u0026quot;*****SkqpeHgqmSz*****\u0026quot;)\u003c/span\u003e)\u003c/code\u003e\u003c/pre\u003e\u003c/p\u003e\\n\u003cp\u003e得到 signature 签名值为：\u003c/p\u003e\\n\u003cp\u003e\u003cpre\u003e\u003ccode\u003eG8jDQBRg1JfeBi/YnTjyjekxfDA\u003cspan class=\\\"hljs-operator\\\"\u003e=\u003c/span\u003e\u003c/code\u003e\u003c/pre\u003e\u003c/p\u003e\\n\u003col start=\\\"3\\\"\u003e\\n\u003cli\u003e将 signature 值进行 \u003cstrong\u003eurlencode（必须进行 URL 编码，否则将导致鉴权失败偶现\u003c/strong\u003e ）后拼接得到最终请求 URL 为：\u003c/li\u003e\\n\u003c/ol\u003e\\n\u003cp\u003e\u003cpre\u003e\u003ccode\u003e\u003cspan class=\\\"hljs-attribute\\\"\u003ewss\u003c/span\u003e://asr.cloud.tencent.com/asr/v2/\u003cspan class=\\\"hljs-number\\\"\u003e1259228442\u003c/span\u003e?engine_model_type=\u003cspan class=\\\"hljs-number\\\"\u003e16\u003c/span\u003ek_zh\u0026amp;expired=\u003cspan class=\\\"hljs-number\\\"\u003e1592380492\u003c/span\u003e\u0026amp;filter_dirty=\u003cspan class=\\\"hljs-number\\\"\u003e1\u003c/span\u003e\u0026amp;filter_modal=\u003cspan class=\\\"hljs-number\\\"\u003e1\u003c/span\u003e\u0026amp;filter_punc=\u003cspan class=\\\"hljs-number\\\"\u003e1\u003c/span\u003e\u0026amp;needvad=\u003cspan class=\\\"hljs-number\\\"\u003e1\u003c/span\u003e\u0026amp;nonce=\u003cspan class=\\\"hljs-number\\\"\u003e1592294092123\u003c/span\u003e\u0026amp;secretid=AKID******************************\u003cspan class=\\\"hljs-number\\\"\u003e0\u003c/span\u003er\u0026amp;timestamp=\u003cspan class=\\\"hljs-number\\\"\u003e1592294092\u003c/span\u003e\u0026amp;voice_format=\u003cspan class=\\\"hljs-number\\\"\u003e1\u003c/span\u003e\u0026amp;voice_id=c64385ee-\u003cspan class=\\\"hljs-number\\\"\u003e3\u003c/span\u003ee5c-\u003cspan class=\\\"hljs-number\\\"\u003e4\u003c/span\u003efc5-bbfd-\u003cspan class=\\\"hljs-number\\\"\u003e7\u003c/span\u003ec71addb35b0\u0026amp;signature=HepdTRX6u155qIPKNKC%\u003cspan class=\\\"hljs-number\\\"\u003e2\u003c/span\u003eB3U0j1N0%\u003cspan class=\\\"hljs-number\\\"\u003e3\u003c/span\u003eD\u003c/code\u003e\u003c/pre\u003e\u003c/p\u003e\\n\u003ch4 id=\\\"opus-.E9.9F.B3.E9.A2.91.E6.B5.81.E5.B0.81.E8.A3.85.E8.AF.B4.E6.98.8E-.3Ca-id.3D.22jump.22.3E.3C.2Fa.3E\\\"\u003eOpus 音频流封装说明 \u003ca id=\\\"jump\\\"\u003e\u003c/a\u003e\u003c/h4\u003e\u003cp\u003e压缩 FrameSize 固定640，即一次压缩640 short，否则解压会失败。传到服务端可以是多帧的拼接组合，每一帧需满足下面格式。\u003cbr\u003e每一帧压缩数据封装如下：\u003c/p\u003e\\n\u003ctable\u003e\\n\u003cthead\u003e\\n\u003ctr\u003e\\n\u003cth\u003eOpusHead（4字节）\u003c/th\u003e\\n\u003cth\u003e帧数据长度（2字节）\u003c/th\u003e\\n\u003cth\u003eOpus 一帧压缩数据\u003c/th\u003e\\n\u003c/tr\u003e\\n\u003c/thead\u003e\\n\u003ctbody\u003e\u003ctr\u003e\\n\u003ctd\u003eopus\u003c/td\u003e\\n\u003ctd\u003e长度 len\u003c/td\u003e\\n\u003ctd\u003e对应 len 长的 opus decode data\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003c/tbody\u003e\u003c/table\u003e\\n\u003ch4 id=\\\".E8.AF.B7.E6.B1.82.E5.93.8D.E5.BA.94\\\"\u003e请求响应\u003c/h4\u003e\u003cp\u003e客户端发起连接请求后，后台建立连接并进行签名校验，校验成功则返回 code 值为0的确认消息表示握手成功；如果校验失败，后台返回 code 为非0值的消息并断开连接。\u003c/p\u003e\\n\u003cp\u003e\u003cpre\u003e\u003ccode\u003e {\u0026quot;\u003cspan class=\\\"hljs-selector-tag\\\"\u003ecode\u003c/span\u003e\u0026quot;:\u003cspan class=\\\"hljs-number\\\"\u003e0\u003c/span\u003e,\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;message\u0026quot;\u003c/span\u003e:\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;success\u0026quot;\u003c/span\u003e,\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;voice_id\u0026quot;\u003c/span\u003e:\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;RnKu9FODFHK5FPpsrN\u0026quot;\u003c/span\u003e}\u003c/code\u003e\u003c/pre\u003e\u003c/p\u003e\\n\u003ch3 id=\\\".E8.AF.86.E5.88.AB.E9.98.B6.E6.AE.B5\\\"\u003e识别阶段\u003c/h3\u003e\u003cp\u003e握手成功之后，进入识别阶段，客户端上传语音数据并接收识别结果消息。\u003c/p\u003e\\n\u003ch4 id=\\\".E4.B8.8A.E4.BC.A0.E6.95.B0.E6.8D.AE\\\"\u003e上传数据\u003c/h4\u003e\u003cp\u003e在识别过程中，客户端持续上传 binary message 到后台，内容为音频流二进制数据。建议每40ms 发送40ms 时长（即1:1实时率）的数据包，对应 pcm 大小为：8k 采样率640字节，16k 采样率1280字节。音频发送速率过快超过1:1实时率或者音频数据包之间发送间隔超过6秒，可能导致引擎出错，后台将返回错误并主动断开连接。\u003cbr\u003e音频流上传完成之后，客户端需发送以下内容的 text message，通知后台结束识别。\u003c/p\u003e\\n\u003cp\u003e\u003cpre\u003e\u003ccode\u003e\u003cspan class=\\\"hljs-punctuation\\\"\u003e{\u003c/span\u003e\u003cspan class=\\\"hljs-attr\\\"\u003e\u0026quot;type\u0026quot;\u003c/span\u003e\u003cspan class=\\\"hljs-punctuation\\\"\u003e:\u003c/span\u003e \u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;end\u0026quot;\u003c/span\u003e\u003cspan class=\\\"hljs-punctuation\\\"\u003e}\u003c/span\u003e\u003c/code\u003e\u003c/pre\u003e\u003c/p\u003e\\n\u003ch4 id=\\\".E6.8E.A5.E6.94.B6.E6.B6.88.E6.81.AF\\\"\u003e接收消息\u003c/h4\u003e\u003cp\u003e客户端上传数据的过程中，需要同步接收后台返回的实时识别结果，结果示例：\u003c/p\u003e\\n\u003cp\u003e\u003cpre\u003e\u003ccode\u003e {\u0026quot;\u003cspan class=\\\"hljs-selector-tag\\\"\u003ecode\u003c/span\u003e\u0026quot;:\u003cspan class=\\\"hljs-number\\\"\u003e0\u003c/span\u003e,\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;message\u0026quot;\u003c/span\u003e:\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;success\u0026quot;\u003c/span\u003e,\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;voice_id\u0026quot;\u003c/span\u003e:\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;RnKu9FODFHK5FPpsrN\u0026quot;\u003c/span\u003e,\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;message_id\u0026quot;\u003c/span\u003e:\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;RnKu9FODFHK5FPpsrN_11_0\u0026quot;\u003c/span\u003e,\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;result\u0026quot;\u003c/span\u003e:{\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;slice_type\u0026quot;\u003c/span\u003e:\u003cspan class=\\\"hljs-number\\\"\u003e0\u003c/span\u003e,\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;index\u0026quot;\u003c/span\u003e:\u003cspan class=\\\"hljs-number\\\"\u003e0\u003c/span\u003e,\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;start_time\u0026quot;\u003c/span\u003e:\u003cspan class=\\\"hljs-number\\\"\u003e0\u003c/span\u003e,\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;end_time\u0026quot;\u003c/span\u003e:\u003cspan class=\\\"hljs-number\\\"\u003e1240\u003c/span\u003e,\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;voice_text_str\u0026quot;\u003c/span\u003e:\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;实时\u0026quot;\u003c/span\u003e,\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;word_size\u0026quot;\u003c/span\u003e:\u003cspan class=\\\"hljs-number\\\"\u003e0\u003c/span\u003e,\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;word_list\u0026quot;\u003c/span\u003e:[]}}\u003c/code\u003e\u003c/pre\u003e\u003c/p\u003e\\n\u003cp\u003e\u003cpre\u003e\u003ccode\u003e{\u0026quot;\u003cspan class=\\\"hljs-selector-tag\\\"\u003ecode\u003c/span\u003e\u0026quot;:\u003cspan class=\\\"hljs-number\\\"\u003e0\u003c/span\u003e,\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;message\u0026quot;\u003c/span\u003e:\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;success\u0026quot;\u003c/span\u003e,\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;voice_id\u0026quot;\u003c/span\u003e:\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;RnKu9FODFHK5FPpsrN\u0026quot;\u003c/span\u003e,\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;message_id\u0026quot;\u003c/span\u003e:\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;RnKu9FODFHK5FPpsrN_33_0\u0026quot;\u003c/span\u003e,\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;result\u0026quot;\u003c/span\u003e:{\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;slice_type\u0026quot;\u003c/span\u003e:\u003cspan class=\\\"hljs-number\\\"\u003e2\u003c/span\u003e,\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;index\u0026quot;\u003c/span\u003e:\u003cspan class=\\\"hljs-number\\\"\u003e0\u003c/span\u003e,\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;start_time\u0026quot;\u003c/span\u003e:\u003cspan class=\\\"hljs-number\\\"\u003e0\u003c/span\u003e,\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;end_time\u0026quot;\u003c/span\u003e:\u003cspan class=\\\"hljs-number\\\"\u003e2840\u003c/span\u003e,\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;voice_text_str\u0026quot;\u003c/span\u003e:\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;实时语音识别\u0026quot;\u003c/span\u003e,\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;word_size\u0026quot;\u003c/span\u003e:\u003cspan class=\\\"hljs-number\\\"\u003e0\u003c/span\u003e,\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;word_list\u0026quot;\u003c/span\u003e:[]}}\u003c/code\u003e\u003c/pre\u003e\u003c/p\u003e\\n\u003cp\u003e后台识别完所有上传的语音数据之后，最终返回 final 值为1的消息并断开连接。\u003c/p\u003e\\n\u003cp\u003e\u003cpre\u003e\u003ccode\u003e{\u0026quot;\u003cspan class=\\\"hljs-selector-tag\\\"\u003ecode\u003c/span\u003e\u0026quot;:\u003cspan class=\\\"hljs-number\\\"\u003e0\u003c/span\u003e,\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;message\u0026quot;\u003c/span\u003e:\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;success\u0026quot;\u003c/span\u003e,\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;voice_id\u0026quot;\u003c/span\u003e:\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;CzhjnqBkv8lk5pRUxhpX\u0026quot;\u003c/span\u003e,\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;message_id\u0026quot;\u003c/span\u003e:\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;CzhjnqBkv8lk5pRUxhpX_241\u0026quot;\u003c/span\u003e,\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;final\u0026quot;\u003c/span\u003e:\u003cspan class=\\\"hljs-number\\\"\u003e1\u003c/span\u003e}\u003c/code\u003e\u003c/pre\u003e\u003c/p\u003e\\n\u003cp\u003e识别过程中如果出现错误，后台返回 code 为非0值的消息并断开连接。\u003c/p\u003e\\n\u003cp\u003e\u003cpre\u003e\u003ccode\u003e{\u0026quot;\u003cspan class=\\\"hljs-selector-tag\\\"\u003ecode\u003c/span\u003e\u0026quot;:\u003cspan class=\\\"hljs-number\\\"\u003e4008\u003c/span\u003e,\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;message\u0026quot;\u003c/span\u003e:\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;后台识别服务器音频分片等待超时\u0026quot;\u003c/span\u003e,\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;voice_id\u0026quot;\u003c/span\u003e:\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;CzhjnqBkv8lk5pRUxhpX\u0026quot;\u003c/span\u003e,\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;message_id\u0026quot;\u003c/span\u003e:\u003cspan class=\\\"hljs-string\\\"\u003e\u0026quot;CzhjnqBkv8lk5pRUxhpX_241\u0026quot;\u003c/span\u003e}\u003c/code\u003e\u003c/pre\u003e\u003c/p\u003e\\n\u003ch2 id=\\\".E5.BC.80.E5.8F.91.E8.80.85.E8.B5.84.E6.BA.90\\\"\u003e开发者资源\u003c/h2\u003e\u003ch3 id=\\\"sdk\\\"\u003eSDK\u003c/h3\u003e\u003cul\u003e\\n\u003cli\u003e\u003ca href=\\\"https://github.com/TencentCloud/tencentcloud-speech-sdk-go\\\"\u003eTencent Cloud Speech SDK for Go\u003c/a\u003e\u003c/li\u003e\\n\u003cli\u003e\u003ca href=\\\"https://github.com/TencentCloud/tencentcloud-speech-sdk-java\\\"\u003eTencent Cloud Speech SDK for Java\u003c/a\u003e\u003c/li\u003e\\n\u003cli\u003e\u003ca href=\\\"https://github.com/TencentCloud/tencentcloud-speech-sdk-cpp\\\"\u003eTencent Cloud Speech SDK for C++\u003c/a\u003e\u003c/li\u003e\\n\u003cli\u003e\u003ca href=\\\"https://github.com/TencentCloud/tencentcloud-speech-sdk-python\\\"\u003eTencent Cloud Speech SDK for Python\u003c/a\u003e\u003c/li\u003e\\n\u003cli\u003e\u003ca href=\\\"https://github.com/TencentCloud/tencentcloud-speech-sdk-js\\\"\u003eTencent Cloud Speech SDK for JS\u003c/a\u003e\u003c/li\u003e\\n\u003cli\u003e\u003ca href=\\\"https://github.com/TencentCloud/tencentcloud-speech-sdk-dotnet\\\"\u003eTencent Cloud Speech SDK for C#\u003c/a\u003e\u003c/li\u003e\\n\u003c/ul\u003e\\n\u003ch3 id=\\\"sdk-.E8.B0.83.E7.94.A8.E7.A4.BA.E4.BE.8B\\\"\u003eSDK 调用示例\u003c/h3\u003e\u003cul\u003e\\n\u003cli\u003e\u003ca href=\\\"https://github.com/TencentCloud/tencentcloud-speech-sdk-go/blob/master/examples/asrexample/asrexample.go\\\"\u003eGolang 示例\u003c/a\u003e \u003c/li\u003e\\n\u003cli\u003e\u003ca href=\\\"https://github.com/TencentCloud/tencentcloud-speech-sdk-java-example/blob/main/src/main/java/com/tencentcloud/asrv2/RtDemo.java\\\"\u003eJava 示例\u003c/a\u003e \u003c/li\u003e\\n\u003cli\u003e\u003ca href=\\\"https://github.com/TencentCloud/tencentcloud-speech-sdk-cpp/blob/master/examples/asr_example.cpp\\\"\u003eC++ 示例\u003c/a\u003e \u003c/li\u003e\\n\u003cli\u003e\u003ca href=\\\"https://github.com/TencentCloud/tencentcloud-speech-sdk-python/blob/master/examples/asr/asrexample.py\\\"\u003ePython 示例\u003c/a\u003e \u003c/li\u003e\\n\u003cli\u003e\u003ca href=\\\"https://github.com/TencentCloud/tencentcloud-speech-sdk-js/tree/main/examples\\\"\u003eJS 示例\u003c/a\u003e\u003c/li\u003e\\n\u003cli\u003e\u003ca href=\\\"https://github.com/TencentCloud/tencentcloud-speech-sdk-dotnet/tree/main/examples/realtime-asr\\\"\u003eC# 示例\u003c/a\u003e \u003c/li\u003e\\n\u003c/ul\u003e\\n\u003ch2 id=\\\".E9.94.99.E8.AF.AF.E7.A0.81\\\"\u003e错误码\u003c/h2\u003e\u003ctable\u003e\\n\u003cthead\u003e\\n\u003ctr\u003e\\n\u003cth\u003e数值\u003c/th\u003e\\n\u003cth\u003e说明\u003c/th\u003e\\n\u003c/tr\u003e\\n\u003c/thead\u003e\\n\u003ctbody\u003e\u003ctr\u003e\\n\u003ctd\u003e4000\u003c/td\u003e\\n\u003ctd\u003e音频数据发送过多，请1秒内最多发送3秒音频数据\u003cbr\u003e注：实时识别的效果是“边说边出文字”，1秒内发送的音频数据总时长应为1秒\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003e4001\u003c/td\u003e\\n\u003ctd\u003e参数不合法，具体详情参考 message\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003e4002\u003c/td\u003e\\n\u003ctd\u003e鉴权失败\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003e4003\u003c/td\u003e\\n\u003ctd\u003eAppID 服务未开通，请在控制台开通服务\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003e4004\u003c/td\u003e\\n\u003ctd\u003e资源包耗尽，请开通后付费或者购买资源包\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003e4005\u003c/td\u003e\\n\u003ctd\u003e账户欠费停止服务，请及时充值\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003e4006\u003c/td\u003e\\n\u003ctd\u003e账号当前调用并发超限\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003e4007\u003c/td\u003e\\n\u003ctd\u003e音频解码失败，请检查上传音频数据格式与调用参数一致\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003e4008\u003c/td\u003e\\n\u003ctd\u003e客户端超过15秒未发送音频数据\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003e4009\u003c/td\u003e\\n\u003ctd\u003e客户端连接断开\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003e4010\u003c/td\u003e\\n\u003ctd\u003e客户端上传未知文本消息\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003e5000\u003c/td\u003e\\n\u003ctd\u003e因机器负载过高、网络抖动等导致失败，请重新发起新识别\u003cbr\u003e注：该问题通常为偶发，少量出现可忽略，发起新识别即可\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003e5001\u003c/td\u003e\\n\u003ctd\u003e因机器负载过高、网络抖动等导致失败，请重新发起新识别\u003cbr\u003e注：该问题通常为偶发，少量出现可忽略，发起新识别即可\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003e5002\u003c/td\u003e\\n\u003ctd\u003e因机器负载过高、网络抖动等导致失败，请重新发起新识别\u003cbr\u003e注：该问题通常为偶发，少量出现可忽略，发起新识别即可\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003e6001\u003c/td\u003e\\n\u003ctd\u003e境外调用请单击 \u003ca href=\\\"https://www.tencentcloud.com/zh/products/asr\\\"\u003e腾讯云国际站\u003c/a\u003e 开通服务。国内站用户请检查是否使用境外代理，如果使用请关闭。\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003ctr\u003e\\n\u003ctd\u003e\u003c/li\u003e\u003c/td\u003e\\n\u003ctd\u003e\u003c/td\u003e\\n\u003c/tr\u003e\\n\u003c/tbody\u003e\u003c/table\u003e\\n\",\"showToc\":true,\"toc\":\"\u003cli\u003e\u003ca href=\\\"#.E6.8E.A5.E5.8F.A3.E6.8F.8F.E8.BF.B0\\\" title=\\\"接口描述\\\"\u003e接口描述\u003c/a\u003e\u003c/li\u003e\u003cli\u003e\u003ca href=\\\"#.E6.8E.A5.E5.8F.A3.E8.A6.81.E6.B1.82\\\" title=\\\"接口要求\\\"\u003e接口要求\u003c/a\u003e\u003c/li\u003e\u003cli\u003e\u003ca href=\\\"#.E6.8E.A5.E5.8F.A3.E8.B0.83.E7.94.A8.E6.B5.81.E7.A8.8B\\\" title=\\\"接口调用流程\\\"\u003e接口调用流程\u003c/a\u003e\u003cul\u003e\u003cli\u003e\u003ca href=\\\"#.E6.8F.A1.E6.89.8B.E9.98.B6.E6.AE.B5\\\" title=\\\"握手阶段\\\"\u003e握手阶段\u003c/a\u003e\u003c/li\u003e\u003cli\u003e\u003ca href=\\\"#.E8.AF.86.E5.88.AB.E9.98.B6.E6.AE.B5\\\" title=\\\"识别阶段\\\"\u003e识别阶段\u003c/a\u003e\u003c/li\u003e\u003c/ul\u003e\u003c/li\u003e\u003cli\u003e\u003ca href=\\\"#.E5.BC.80.E5.8F.91.E8.80.85.E8.B5.84.E6.BA.90\\\" title=\\\"开发者资源\\\"\u003e开发者资源\u003c/a\u003e\u003cul\u003e\u003cli\u003e\u003ca href=\\\"#sdk\\\" title=\\\"SDK\\\"\u003eSDK\u003c/a\u003e\u003c/li\u003e\u003cli\u003e\u003ca href=\\\"#sdk-.E8.B0.83.E7.94.A8.E7.A4.BA.E4.BE.8B\\\" title=\\\"SDK 调用示例\\\"\u003eSDK 调用示例\u003c/a\u003e\u003c/li\u003e\u003c/ul\u003e\u003c/li\u003e\u003cli\u003e\u003ca href=\\\"#.E9.94.99.E8.AF.AF.E7.A0.81\\\" title=\\\"错误码\\\"\u003e错误码\u003c/a\u003e\u003c/li\u003e\",\"recentReleaseTime\":\"2024-11-15 14:28:41\",\"videoConfig\":{\"position\":\"top\"},\"githubUrl\":\"https://github.com/tencentyun/qcloud-documents/blob/master/product/大数据与AI/语音识别/语音识别%20API%202017/实时语音识别（websocket）.md\",\"isSlate\":false,\"writeNodeId\":\"\",\"displayEditEntry\":false,\"slate\":\"\"},\"relationConfig\":{\"switch\":0},\"shareConfig\":[],\"advanced\":[]},\"relatedHotArticleList\":[]},\"staticContext\":{\"isMobile\":false,\"isMiniProgram\":false,\"isWechat\":false,\"isPreview\":false,\"originalUrl\":\"/document/product/1093/48982\",\"CDN_DOMAIN\":\"cloudcache.tencent-cloud.com\",\"QCLOUD_DOMAIN\":\"cloud.tencent.com\",\"isLegalReferer\":true,\"ssrInfo\":{},\"language\":\"zh\",\"requestId\":\"NhQSaov6f\"}},\"0-0\":null},\"actionData\":null,\"errors\":null}");</script></div><script>window.isServerContext = false; window.isClientContext = true; window.$serverTime = 1732388616004; window.$clientTime = 1732388616004;</script><script> window.CDN_DOMAIN = 'cloudcache.tencent-cloud.com'; window.QCLOUD_DOMAIN = 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