Voice activity detection based on conjugate subspace matching pursuit and likelihood ratio test

Abstract

Most of voice activity detection (VAD) schemes are operated in the discrete Fourier transform (DFT) domain by classifying each sound frame into speech or noise based on the DFT coefficients. These coefficients are used as features in VAD, and thus the robustness of these features has an important effect on the performance of VAD scheme. However, some… (More)
DOI: 10.1186/1687-4722-2011-12

Topics

11 Figures and Tables

Cite this paper

@article{Deng2011VoiceAD, title={Voice activity detection based on conjugate subspace matching pursuit and likelihood ratio test}, author={Shiwen Deng and Jiqing Han}, journal={EURASIP J. Audio, Speech and Music Processing}, year={2011}, volume={2011}, pages={12} }