Speech enhancement method and device

Abstract

The embodiment of the invention discloses a speech enhancement method and a speech enhancement device. The method comprises the following steps of: converting a speech signal with noise to obtain a frequency-domain speech signal with the noise; setting weight values of the spectral variance and spectrum amplitude of a previous frame in the frequency-domain speech signal with the noise by using a correlation degree correction parameter to obtain the spectral variance of a current frame in a pure frequency-domain speech signal, wherein the correlation degree correction parameter indicates the degree of correlation between the current frame and the previous frame; obtaining the prior signal to noise ratio of the current frame in the pure frequency-domain speech signal according to the spectral variance of the current frame in the pure frequency-domain speech signal and the spectral variance of the previous frame in the frequency-domain speech signal with the noise; and obtaining an enhanced pure frequency-domain speech signal by a least-mean-square error estimation method according to the prior signal to noise ratio of the current frame in the pure frequency-domain speech signal. Through the embodiment of the invention, errors introduced by the calculation of the prior signal to noise ratio in a speech enhancement process can be reduced.

Description

technical field [0001] The invention relates to the technical field of voice communication, in particular to a voice enhancement method and device. Background technique [0002] Realistic voice communication may occur in a noisy environment. For example, mobile phone communication in a factory will be affected by the roar of machinery; voice communication in a train cab will be disturbed by motor running and rail crashing. Speech enhancement is to extract the original speech as pure as possible from the noisy speech signal, thereby improving the speech quality, clarity and intelligibility of the speech. [0003] In voice communication technology, voice enhancement technology has been widely used. There are two main purposes of speech enhancement: one is to improve speech quality and eliminate background noise so that the listener can accept it without fatigue; the other is to improve the intelligibility of speech. Among them, due to the different noise characteristics, the...

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Problems solved by technology

[0004] In the estimation technology based on the minimum mean square error, it is necessary to calculate the prior signal-to-noise ratio through the Decision-Directed Approach method to obtain a pure speech signal. However, the inventor found in the research that in the existing estimation technology based on the minimum mean square error, There are at least the following problems in the calculation of the prior SNR: the calculation of the prior SNR of the current data frame depends on the information of the previous frame of the current data frame, however, there is a gap between the previous frame of the current frame and the current frame This difference will lead to the same error in the prior signal-to-noise ratio, and eventually lead to a large error between the pure speech signal obtained by the speech enhancement technology and the real pure speech signal

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