Patent
Voice activity detection with adaptive noise floor tracking
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TLDR
In this article, a method and apparatus for detecting voice activity in a communication signal, where filter means are provided for estimating or suppressing an offset component of the level of the communication signal.Abstract:
The present invention relates to a method and apparatus for detecting voice activity in a communication signal, wherein filter means are provided for estimating or suppressing an offset component of the level of the communication signal. A filter parameter is controlled based on the output of the filter means. Furthermore, the estimation or suppression of the offset component is limited in response to the output of the filter means. The filter means may be based on a non-linear adaptive notch level filter or a noise floor tracking filter. Thereby, the tracking behavior of noise floor estimation to sudden rises in noise floor can be improved and the voice activity detection can work efficiently over a wide dynamic range.read more
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References
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TL;DR: In this paper, a nonlinear two-filter voice detection algorithm was proposed, in which one filter has a low time constant (the fast filter) and one filter had a high time constant(the slow filter).
PatentDOI
System and method for noise threshold adaptation for voice activity detection in nonstationary noise environments
TL;DR: In this article, the authors proposed an approach based on the "lower envelope" of the smoothed input signal power for determining the time at which a snapshot of noise characteristics results in improved adaptation of noise floors used in voice detection.
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TL;DR: In this paper, an external voice activity detector (150 ) is used to estimate the signal power of the incoming voice signal and compares this to an estimated noise floor, which is then used to decide whether or not to use the force noise suppressor (100 ) to perform an update of a noise content estimate.