Audio signal processing system, method for audio signal processing, and computer readable storage medium

Abstract

Systems and methods for audio signal processing including an input interface to receive a noisy audio signal including a mixture of target audio signal and noise. An encoder to map each time-frequencybin of the noisy audio signal to one or more phase-related value from one or more phase quantization codebook of phase-related values indicative of the phase of the target signal. Calculate, for eachtime-frequency bin of the noisy audio signal, a magnitude ratio value indicative of a ratio of a magnitude of the target audio signal to a magnitude of the noisy audio signal. A filter to cancel thenoise from the noisy audio signal based on the phase-related values and the magnitude ratio values to produce an enhanced audio signal. An output interface to output the enhanced audio signal.

Description

technical field [0001] The present disclosure relates generally to audio signals and, more particularly, to source separation and speech enhancement audio signal processing utilizing noise suppression methods and systems. Background technique [0002] In traditional noise cancellation or traditional audio signal enhancement, the goal is to obtain an "enhanced audio signal" which is a "clean audio signal" of the noisy audio signal which in some sense is closer to the fundamental reality or A processed version of the "target audio signal" of interest. Specifically, in the case of speech processing, the goal of "speech enhancement" is to obtain "enhanced speech", which is a "clean speech" of a noisy speech signal that is closer in a certain sense to the ground truth. ” or a processed version of the “target speech”. [0003] Note that it is generally assumed that clean speech is only available during training and not during actual use of the system. For training, a close-talk...

AI Technical Summary

Problems solved by technology

However, in traditional methods, the phase is ignored, and the focus in traditional methods has been on the magnitude prediction of the "target speech" given a noisy speech signal as input

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