Method for self-adaptively adjusting background noise in voice endpoint detection
An adaptive adjustment and background noise technology, applied in speech analysis, speech recognition, instruments, etc., to achieve high detection efficiency and good quality
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[0035] The present invention will be described in detail below with reference to the drawings and specific embodiments.
[0036] The background noise adaptive adjustment method in voice endpoint detection provided by the present invention can adjust voice parameters in time according to changes in background noise, thereby improving the voice endpoint detection efficiency under a complex noise background. The overall process of voice endpoint detection is as follows figure 1 As shown, after the audio data is input, the audio file is parsed and the digital sample value is extracted, and the obtained audio sample sequence is band-pass filtered with a bandwidth of 400hz to 3500hz. The main purpose is to filter out noise or music outside the frequency band of human pronunciation. In addition, it can greatly reduce the impact of background music on voice endpoint detection. Subsequently, window processing is performed on the audio sample sequence, divided into frames of 10ms length, a...
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