Speaker identification employing redundant vector quantisers

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Speaker identification employing redundant vector quantisers

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A novel approach for automatic speaker identification employing a recently proposed signal compression technique, namely, the multiple transform domain split vector quantiser, is developed and presented. Using a normalised matching accuracy measure, the proposed technique consistently yields enhanced identification performance in comparison with existing single domain vector quantiser approaches.

Inspec keywords: transform coding; speech coding; vector quantisation; speaker recognition

Other keywords: automatic speaker identification; signal compression technique; VQ; MTSVQ; multiple transform domain split vector quantiser; redundant vector quantisers; normalised matching accuracy measure

Subjects: Speech recognition and synthesis; Speech and audio coding; Speech recognition

References

    1. 1)
    2. 2)
      • A. Gray , R.M. Gray . (1991) Vector quantisation and signal compression.
    3. 3)
      • Tufekci, Z., Gowdy, J.N.: `Feature extraction using discrete wavelet transform for speech recognition', IEEE Proceedings, April 2000, Southeastcon, Nashville, TN, USA, p. 116–123.
    4. 4)
      • Berg, A.P., Mikhael, W.B.: `A survey of mixed transform techniques for speech and image coding', IEEE, Int. Symp. on Circuits and Systems, June 1999, Orlando, FL, USA, p. 106–109.
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