The Effect of LPC Order on The Performance of Vector Quantization in Isolated-Word Recognition

Authors

  • W. A. Mahmoud
  • L. A. M. Bennett

Abstract

The Vector quantization (VO) of LPC spectra has been applied to cocoding and also very recently to speech recognition as a means of reducing memory requirements for the storage of reference templates and of reducing computation time. This paper examines the effect of the LPC order (P) on the distortion measure and on the performance of the VQ algorithm in isolated word speech recognition (IWSR).

Additional Files

Published

2022-12-03

How to Cite

1.
Mahmoud WA, Bennett LAM. The Effect of LPC Order on The Performance of Vector Quantization in Isolated-Word Recognition. Canadian Acoustics [Internet]. 2022 Dec. 3 [cited 2024 Apr. 24];14(3 bis):93-4. Available from: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/3536

Issue

Vol. 14 No. 3 bis (1986): Montreal Symposium On Speech Recognition

Section

Proceedings of the Acoustics Week in Canada

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