ADAPTIVE VOICE ACTIVITY DETECTION IN DELTA COMPRESSION OF SPEECH SIGNALS

Authors

  • Oleksandr Tkachenko Vinnytsia National Technical University
  • Leonid Krupelnytskiy Vinnytsia National Technical University
  • Sergiy Hruscak Vinnytsia National Technical University

Keywords:

compression of speech signals, linear prediction coefficients, linear spectral frequencies, vector quantization, voice activity detection

Abstract

The paper presents the developed method of Delta-compression with the prediction of the subsequent index of the quantized value in the code book and the improved method of the voice activity detection described in the recommendation G.729, Annex. Experimental investigation of the proposed method was performed.

Author Biographies

Oleksandr Tkachenko, Vinnytsia National Technical University

Assoc. Prof. of the Computer Engineering Department

Leonid Krupelnytskiy, Vinnytsia National Technical University

Assoc. Prof. of the Computer Engineering Department

Sergiy Hruscak, Vinnytsia National Technical University

Post-graduate student of the Computer Engineering Department

Downloads

Abstract views: 159

Published

2015-11-30

How to Cite

[1]
O. Tkachenko, L. Krupelnytskiy, and S. Hruscak, “ADAPTIVE VOICE ACTIVITY DETECTION IN DELTA COMPRESSION OF SPEECH SIGNALS”, Works of VNTU, no. 3, Nov. 2015.

Issue

No. 3 (2011): 2011№3

Section

Information Technologies and Computer Engineering

Metrics

Downloads

Download data is not yet available.