Computer Engineering & Science >
An Adaptive Voice Activity Detection Algorithm in Noisy Environments
Received date: 2010-05-20
Revised date: 2010-09-05
Online published: 2011-01-25
The shortages of shorttime energy based voice activity detection method is analyzed first. Then a shorttime signaltonoise ratio (SNR) estimation method is introduced, and a new adaptive voice activity detection algorithm is proposed based on the design of the adaptive discriminative threshold. Simulations with a lot of Gaussian noisy speech signals ranging from 10dB to 20dB show that the comparatively accurate speech endpoints can be detected by the proposed method in different SNR environments.
LIN Xuemei . An Adaptive Voice Activity Detection Algorithm in Noisy Environments[J]. Computer Engineering & Science, 2011 , 33(1) : 94 -96 . DOI: 10.3969/j.issn.1007130X.2011.
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