07-02-2019 дата публикации
Номер: US20190043515A1
Techniques are provided for reduction of noise and nonlinear-echo. A methodology implementing the techniques according to an embodiment includes estimating transfer functions (TFs) of echo paths of audio signals received through a microphone array. The audio signals include speech signal, additive noise, and echo, the TF estimation based on the reference signal. The method also includes cancellation of linear components of the echo, based on the echo path TFs. The method further includes estimating an inverse square root of a covariance matrix of the additive noise, whitening the echo cancelled signals, and estimating a speech path RTF associated with the speech signal, based on the whitened echo cancelled signals. The method further includes performing beamforming on the whitened signals (such as weighted MVDR beamforming), based on the echo path TFs, the speech path RTF, and the estimated inverse square root additive noise covariance matrix. 1. A processor-implemented method for reducing noise and echo in an audio signal , the method comprising:estimating, by a processor-based system, a transfer function (TF) of an echo path associated with a received audio signal, the audio signal including a combination of a speech signal, additive noise, and an echo signal, the estimation based on the reference signal;performing, by the processor-based system, cancellation of one or more linear components of the echo signal, based on the echo path TF, to provide an echo cancelled signal;estimating, by the processor-based system, a square root of an inverse of a covariance matrix of the additive noise;whitening, by the processor-based system, the echo cancelled signal;estimating, by the processor-based system, a speech path RTF associated with the speech signal, based on the whitened echo cancelled signal; andperforming, by the processor-based system, beamforming on the whitened echo cancelled signal, based on the echo path TF, the speech path RTF, and the estimated square root ...
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