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

Auteurs-es

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

Résumé

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).

Fichiers supplémentaires

Publié-e

2022-12-03

Comment citer

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

Numéro

Rubrique

Actes du congrès de la Semaine canadienne d'acoustique