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Multilingual Speaker Identification with the Constraint of Limited Data Using Multitaper MFCC

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Recent Trends in Computer Networks and Distributed Systems Security (SNDS 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 335))

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Abstract

Feature extraction has the ability to improve the performance of speaker identification systems. This paper studies the significance of low-variance multitaper Mel-frequency cepstral coefficient (multitaper MFCC) features for Multilingual speaker identification with the constraint of limited data. The speaker identification study is conducted using 30 speakers of our own database. Sine-weighted cepstrum estimator (SWCE) taper MFCC features are extracted and modeled using Gaussian Mixture Model (GMM)-Universal Background Model (UBM). The results show that the multitaper MFCC approach performs better than the conventional Hamming window MFCC technique in all the speaker identification experiments.

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Author information

Authors and Affiliations

  1. Department of Information Science and Engineering, Siddaganga Institute of Technology, Tumkur, 572103, India

    B. G. Nagaraja & H. S. Jayanna

Authors
  1. B. G. Nagaraja
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  2. H. S. Jayanna
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Editor information

Editors and Affiliations

  1. Indian Institute of Information Technology and Management, Technopark Campus, 695581, Trivandrum, Kerala, India

    Sabu M. Thampi  & Tony Thomas  & 

  2. School of Information Technologies, The University of Sydney, Building J12, 2006, Sydney, NSW, Australia

    Albert Y. Zomaya

  3. FG Peer-to-Peer-Netzwerke, TU Darmstadt - FB 20, Hochschulstr. 10, 64289, Darmstadt, Germany

    Thorsten Strufe

  4. Hewlett-Packard Laboratories, Stoke Gifford, BS34 8QZ, Bristol, UK

    Jose M. Alcaraz Calero

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© 2012 Springer-Verlag Berlin Heidelberg

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Nagaraja, B.G., Jayanna, H.S. (2012). Multilingual Speaker Identification with the Constraint of Limited Data Using Multitaper MFCC. In: Thampi, S.M., Zomaya, A.Y., Strufe, T., Alcaraz Calero, J.M., Thomas, T. (eds) Recent Trends in Computer Networks and Distributed Systems Security. SNDS 2012. Communications in Computer and Information Science, vol 335. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34135-9_13

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  • DOI: https://doi.org/10.1007/978-3-642-34135-9_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34134-2

  • Online ISBN: 978-3-642-34135-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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