• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊
论文

An Adaptive Voice Activity Detection Algorithm in Noisy Environments

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  • (School of Information Science and Technology,Hunan Agricultural University,Changsha 410128,China)

Received date: 2010-05-20

  Revised date: 2010-09-05

  Online published: 2011-01-25

Abstract

The shortages of shorttime energy based voice activity detection method is analyzed first. Then a shorttime signaltonoise 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.

Cite this article

LIN Xuemei . An Adaptive Voice Activity Detection Algorithm in Noisy Environments[J]. Computer Engineering & Science, 2011 , 33(1) : 94 -96 . DOI: 10.3969/j.issn.1007130X.2011.

References

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