Method for separating monaural overlapping speeches based on fractional Fourier transform (FrFT)

A technology of fractional Fourier and speech separation, applied in speech analysis, instruments, etc., can solve problems such as separation, achieve effective separation and reduce extension
CN102054480AInactive Publication Date: 2011-05-11BEIJING INSTITUTE OF TECHNOLOGYGY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING INSTITUTE OF TECHNOLOGYGY
Publication Date
2011-05-11
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention relates to a method for separating monaural overlapping speeches based on fractional Fourier transform (FrFT), which belongs to the technical field of audio signal processing. The method comprises the following steps: firstly, preprocessing overlapping speech signals so as to remove mute-section signals of the overlapping speech signals and find out sonant frames; then, carrying out pitch detection on sonant-frame signals based on FrFT so as to separate the fundamental frequencies of the overlapping speeches; and finally, integrating the fundamental frequencies with a sinusoidal model of speech signals so as to synthesize speeches, thereby obtaining each speech signal subjected to separation. The method provided by the invention has the advantages that the fundamental frequencies of a plurality of overlapping speeches can be separated and extracted effectively, and finally, the effective separation of the overlapping speeches can be realized; and the pitch frequencies are extracted based on FrFT instead of traditional fast Fourier transform (FFT), thereby reducing the extension of a harmonic frequency spectrum and then obtaining more accurate fundamental frequencies of original signals. The method provided by the invention is especially suitable for the separation of monaural overlapping speeches containing speeches of two persons.
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Description

technical field

[0001] The invention relates to a method for separating monophonic aliasing speech by using fractional Fourier transform, and belongs to the technical field of audio signal processing. Background technique

[0002] In the field of speech and auditory signal processing, an important problem is how to separate the speech of interest from the aliased speech signal. Aliasing speech separation has important theoretical significance and practical value in speech communication, acoustic target detection, sound signal enhancement, etc. It is difficult for speech enhancement methods to separate the speech that people are interested in (called the target speech) from the interference speech.

[0003] Fractional Fourier Transform (FrFT) has excellent characteristics for analyzing some non-stationary signals, and has become a tool that has attracted widespread attention in the signal processing field in recent years. Speech as a non-stationary signal, the application o...

Claims

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