Approach for Energy-Based Voice Detector with Adaptive Scaling Factor

نویسندگان

  • Kirill Sakhnov
  • Boris Simak
چکیده

This paper presents an alternative energy-based algorithm to provide speech/silence classification. The algorithm is capable to track non-stationary signals and dynamically calculate instantaneous value for threshold using adaptive scaling parameter. It is based on the observation of a noise power estimation used for computation of the threshold can be obtained using minimum and maximum values of a short-term energy estimate. The paper presents this novel voice activity detection algorithm, its performance, its limitations, and some other techniques which deal with energy estimation as well.

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تاریخ انتشار 2009