An Algorithm for Voice Waveform VQ Codebook Design Based on PCA

Authors

  • F. Madeiro
  • R. M. Vilar
  • B. G Aguiar Neto
  • M. S. Alencar

DOI:

https://doi.org/10.14209/jcis.2000.7

Keywords:

Vector quantization, codebook design, voice waveform coding, principal component analysis, Karhunen-Loeve transform.

Abstract

Abstract - Speech compression plays an important role in applications which require the minimization of the storage and/or transmission requirements, such as multimedia, integrated services digital networks (ISDN), voice response systems and cellular telephony. Vector quantization (VQ) is a well-known compression technique which has been widely used in many speech coding systems. In the present work, an algorithm for designing codebooks for voice waveform vector quantization is presented. Simulations are carried out to compare the performance of the proposed algorithm, which is based on principal component analysis (PCA), to the performance of two other design approaches: the traditional LBG (Linde-Buzo-Gray) algorithm and a self-organizing neural network algorithm.

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Published

2018-02-12

How to Cite

Madeiro, F., Vilar, R. M., Aguiar Neto, B. G., & Alencar, M. S. (2018). An Algorithm for Voice Waveform VQ Codebook Design Based on PCA. Journal of Communication and Information Systems, 15(2). https://doi.org/10.14209/jcis.2000.7

Issue

Vol. 15 No. 2 (2000)

Section

Regular Papers

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Received 2018-02-12
Accepted 2018-02-12
Published 2018-02-12