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A New Text-Independent Speaker Identification Using Vector Quantization and Multi-layer Perceptron

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Advances in Neural Networks - ISNN 2006 (ISNN 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3972))

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Abstract

In this paper, we propose a new text-independent speaker identification method using VQ and MLP. It consists of three parts: a new spectral peak analysis based feature extraction, speaker clustering and model selection using VQ, and MLP based speaker identification. The feature vector reflects the speaker specific characteristics and has a long-term feature for which makes it text-independent. The proposed method has a computational efficient for feature extraction and identification. To evaluate the proposed method, we calculated the correct identification ratio (CIR), the average CIR of the proposed and GMM method was 92.27% and 85.78% for 5 seconds segments in 15-speaker identification. Experimental results, we have achieved a performance comparable to GMM-method.

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Author information

Authors and Affiliations

  1. Dept. of Computer Engineering, Kyung Hee University, 1, Seocheon-dong, Giheung-gu, Yongin-si, Gyeonggi-do, Korea

    Ji-Soo Keum & Hyon-Soo Lee

  2. Dept. of Internet Information Science, Bucheon College, 424, Simgok-dong, Wonmi-gu, Bucheon-si, Gyeonggi-do, Korea

    Chan-Ho Park

Authors
  1. Ji-Soo Keum
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  2. Chan-Ho Park
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  3. Hyon-Soo Lee
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Editor information

Editors and Affiliations

  1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  2. Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, P.R. China

    Zhang Yi

  3. Department of Electrical Engineering, University of Louisville, 40292, Louisville, KY, U.S.A

    Jacek M. Zurada

  4. Laboratory for Computational Biology, Shanghai Center for Systems Biomedicine, 800 Dong Chuan Rd., 200240, Shanghai, China

    Bao-Liang Lu

  5. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

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© 2006 Springer-Verlag Berlin Heidelberg

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Keum, JS., Park, CH., Lee, HS. (2006). A New Text-Independent Speaker Identification Using Vector Quantization and Multi-layer Perceptron. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3972. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760023_25

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  • DOI: https://doi.org/10.1007/11760023_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34437-7

  • Online ISBN: 978-3-540-34438-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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