Speech reverberation eliminating method based on Wiener filtering

Abstract

The invention discloses an extinction method of voice reverberation based on Wiener filtering, belonging to the technical field of voice signal processing. The method of the invention includes the four steps of input processing, reverberation analysis, reverberation processing and output processing, wherein, the input processing is to carry out sampling, endpoint detection and framing to a voice signal, the reverberation analysis is to carry out a first deconvolution operation to an onset voice and a reverberation signal thereof, so as to obtain a room impact response message of reverberation environment; the reverberation processing is to carry out filtering to the reverberation signal based on the room impact response message, namely, a second deconvolution operation, so as to obtain a dereverberation signal; the output processing is to carry out voice reconstruction, digital-to-analog conversion and signal transmission to the dereverberation signal, as well as record a dereverberation evaluation index. The method of the invention has good dereverberation effect, lower computation intensity and better timeliness.

Description

technical field [0001] The invention relates to a speech reverberation reduction method, in particular to a speech reverberation reduction method based on Wiener filtering, and belongs to the technical field of speech signal processing. Background technique [0002] The sound is susceptible to reverberation. For example, in a room, speech signals are reflected by walls, ceilings or floors, so microphones present in the room will receive an acoustic signal that is a combination of the direct signal and the indirect signal received through reflecting surfaces. This indirect signal is known as the reverberated part of the received signal. In the use of mobile phones, when the call environment is relatively narrow, such as in the bathroom or in the elevator, reverberation is likely to occur. When the reverberation is severe, it will lead to slurred speech and communication barriers. In many other occasions, reverberation often also brings interference, resulting in poor perfor...

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Problems solved by technology

Both of the above two invention patents analyze the spectrum of the reverberation signal and determine the characteristics of the reverberation to achieve the reduction of the reverberation. The ease of processing and calculation is better than that of blind deconvolution and de-reverberation. In terms of the effect of reverberation reduction, only relying on the analysis of the reverberation signal spectrum, the reverberation effect still needs to be further improved

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