A novel approach to the speaker identification over telephone networks

  • Authors:

  • Hsiao-Chuan Wang;Ming-Shih Chen;Tracy Yang

  • Affiliations:

  • Dept. of Electrical Engineering, National Tsing Hua University Hsinchu, Taiwan, R.O.C.;Dept. of Electrical Engineering, National Tsing Hua University Hsinchu, Taiwan, R.O.C. and Telecommunication Training Institute Taichung Center, Taichung, Taiwan, R.O.C.;Dept. of Electrical Engineering, National Tsing Hua University Hsinchu, Taiwan, R.O.C.

  • Venue:
  • ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: speech processing - Volume II
  • Year:
  • 1993

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Abstract

In this paper, we propose a channel equalization approach to overcome the channel variation in speaker identification over telephone system. A set of inverse channel spectra is chosen to form a basis for generating the estimated channel equalization filter. When a short utterance goes through the basis filters, the coefficients of convex combination are produced automatically so that a channel equalization filter is generated to compensate the channel variation embedded in the speech signal. A neural network is employed to optimize the coefficients in convex combination. For the case of using a 100-speaker database, the average error rate of 5.2% can be achieved in simulation.