<?xml version="1.0" encoding="UTF-8"?> <article key="pdf/1891" mdate="2007-12-21 00:00:00"> <author>Theologos Athanaselis and Stelios Bakamidis and Ioannis Dologlou</author> <title>Automatic Recognition of Emotionally Coloured Speech</title> <pages>1969 - 1972</pages> <year>2007</year> <volume>1</volume> <number>12</number> <journal>International Journal of Computer and Information Engineering</journal> <ee>https://publications.waset.org/pdf/1891</ee> <url>https://publications.waset.org/vol/12</url> <publisher>World Academy of Science, Engineering and Technology</publisher> <abstract>Emotion in speech is an issue that has been attracting the interest of the speech community for many years, both in the context of speech synthesis as well as in automatic speech recognition (ASR). In spite of the remarkable recent progress in Large Vocabulary Recognition (LVR), it is still far behind the ultimate goal of recognising free conversational speech uttered by any speaker in any environment. Current experimental tests prove that using state of the art large vocabulary recognition systems the error rate increases substantially when applied to spontaneousemotional speech. This paper shows that recognition rate for emotionally coloured speech can be improved by using a language model based on increased representation of emotional utterances.</abstract> <index>Open Science Index 12, 2007</index> </article>