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MONAURAL NOISE SUPPRESSION BASED ON COMPUTATIONAL AUDITORY SCENE ANALYSIS

机译:基于计算听觉场景分析的单声道噪声抑制

摘要

The present invention provides a sophisticated noise reduction system which can reduce the noise and echo components of the sound signal at the same time while limiting the level of the speech distortion. Acoustic signal is received and converted to the cochlear domain subband signals. The characteristics and the pitch may be identified and tracked in the sub-band signals. Then, the initial speech and noise models can be estimated from the probability analysis based on at least in part, the track pitch source. The speech and noise models can be resolved from the initial noise model and the speech and the noise reduction can be performed on a subband signal may be an acoustic signal from the noise reduced sub-band signal reconstruction.
机译:本发明提供了一种复杂的降噪系统,该系统可以同时减少声音信号的噪声和回声分量,同时限制语音失真的水平。接收到声信号并将其转换为耳蜗域子带信号。可以在子带信号中识别和跟踪特性和音调。然后,可以至少部分基于轨道音调源从概率分析中估计初始语音和噪声模型。可以从初始噪声模型中解析语音和噪声模型,并且可以对子带信号执行语音和降噪,该子带信号可以是来自降噪的子带信号重构的声学信号。

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