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System and method for multi-channel multi-feature speech/noise classification for noise suppression
System and method for multi-channel multi-feature speech/noise classification for noise suppression
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机译:用于抑制噪声的多信道多特征语音/噪声分类的系统和方法
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摘要
An architecture and framework for speech/noise classification of an audio signal using multiple features with multiple input channels (e.g., microphones) are provided. The architecture may be implemented with noise suppression in a multi-channel environment where noise suppression is based on an estimation of the noise spectrum. The noise spectrum is estimated using a model that classifies each time/frame and frequency component of a signal as speech or noise by applying a speech/noise probability function. The speech/noise probability function estimates a speech/noise probability for each frequency and time bin. A speech/noise classification estimate is obtained by fusing (e.g., combining) data across different input channels using a layered network model. Individual feature data acquired at each channel and/or from a beam-formed signal is mapped to a speech probability, which is combined through layers of the model into a final speech/noise classification for use in noise estimation and filtering processes for noise suppression.
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