Search results for: Anindya Roy

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class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="Anindya Roy"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 2</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: Anindya Roy</h1> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2</span> Application of a Novel Audio Compression Scheme in Automatic Music Recommendation, Digital Rights Management and Audio Fingerprinting</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Anindya%20Roy">Anindya Roy</a>, <a href="https://publications.waset.org/search?q=Goutam%20Saha"> Goutam Saha</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>Rapid progress in audio compression technology has contributed to the explosive growth of music available in digital form today. In a reversal of ideas, this work makes use of a recently proposed efficient audio compression scheme to develop three important applications in the context of Music Information Retrieval (MIR) for the effective manipulation of large music databases, namely automatic music recommendation (AMR), digital rights management (DRM) and audio finger-printing for song identification. The performance of these three applications has been evaluated with respect to a database of songs collected from a diverse set of genres.</p> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Audio%20compression" title="Audio compression">Audio compression</a>, <a href="https://publications.waset.org/search?q=Music%20Information%20Retrieval" title=" Music Information Retrieval"> Music Information Retrieval</a>, <a href="https://publications.waset.org/search?q=Digital%20Rights%20Management" title=" Digital Rights Management"> Digital Rights Management</a>, <a href="https://publications.waset.org/search?q=Audio%20Fingerprinting." title=" Audio Fingerprinting."> Audio Fingerprinting.</a> </p> <a href="https://publications.waset.org/15191/application-of-a-novel-audio-compression-scheme-in-automatic-music-recommendation-digital-rights-management-and-audio-fingerprinting" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/15191/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/15191/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/15191/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/15191/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/15191/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/15191/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/15191/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/15191/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/15191/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/15191/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/15191.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">1540</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1</span> Improved Closed Set Text-Independent Speaker Identification by Combining MFCC with Evidence from Flipped Filter Banks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Sandipan%20Chakroborty">Sandipan Chakroborty</a>, <a href="https://publications.waset.org/search?q=Anindya%20Roy"> Anindya Roy</a>, <a href="https://publications.waset.org/search?q=Goutam%20Saha"> Goutam Saha</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>A state of the art Speaker Identification (SI) system requires a robust feature extraction unit followed by a speaker modeling scheme for generalized representation of these features. Over the years, Mel-Frequency Cepstral Coefficients (MFCC) modeled on the human auditory system has been used as a standard acoustic feature set for SI applications. However, due to the structure of its filter bank, it captures vocal tract characteristics more effectively in the lower frequency regions. This paper proposes a new set of features using a complementary filter bank structure which improves distinguishability of speaker specific cues present in the higher frequency zone. Unlike high level features that are difficult to extract, the proposed feature set involves little computational burden during the extraction process. When combined with MFCC via a parallel implementation of speaker models, the proposed feature set outperforms baseline MFCC significantly. This proposition is validated by experiments conducted on two different kinds of public databases namely YOHO (microphone speech) and POLYCOST (telephone speech) with Gaussian Mixture Models (GMM) as a Classifier for various model orders.</p> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Complementary%20Information" title="Complementary Information">Complementary Information</a>, <a href="https://publications.waset.org/search?q=Filter%20Bank" title=" Filter Bank"> Filter Bank</a>, <a href="https://publications.waset.org/search?q=GMM" title=" GMM"> GMM</a>, <a href="https://publications.waset.org/search?q=IMFCC" title=" IMFCC"> IMFCC</a>, <a href="https://publications.waset.org/search?q=MFCC" title=" MFCC"> MFCC</a>, <a href="https://publications.waset.org/search?q=Speaker%20Identification" title=" Speaker Identification"> Speaker Identification</a>, <a href="https://publications.waset.org/search?q=Speaker%20Recognition." title=" Speaker Recognition."> Speaker Recognition.</a> </p> <a href="https://publications.waset.org/3580/improved-closed-set-text-independent-speaker-identification-by-combining-mfcc-with-evidence-from-flipped-filter-banks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/3580/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/3580/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/3580/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/3580/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/3580/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/3580/json" target="_blank" rel="nofollow" class="btn btn-primary 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Search results for: Anindya Roy