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Quick source signal reconstruction method achieving blind sound source separation of two microphones

A technology with dual microphones and source signals, applied in speech analysis, instruments, etc., can solve the problems of small calculation amount, large calculation amount, and fast calculation speed

Inactive Publication Date: 2014-11-26
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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AI Technical Summary

Problems solved by technology

[0006] The present invention aims at the disadvantages of the background technology that there is a large amount of computation and large noise when there are many source signals, and designs a fast source signal reconstruction method for double-microphone blind sound source separation, so as to achieve a small amount of computation, fast computation speed, and restored source signal information. The purpose of high noise ratio

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  • Quick source signal reconstruction method achieving blind sound source separation of two microphones
  • Quick source signal reconstruction method achieving blind sound source separation of two microphones
  • Quick source signal reconstruction method achieving blind sound source separation of two microphones

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Embodiment Construction

[0067] The invention is verified by separating and processing two measurement signals containing four source signals on MATLAB R2008a. The 4 source signals come from 4 different languages, and there are two male voices and two female voices. The measured signal length is 5.03s, and the sampling rate is 10000hz. The specific implementation steps are as follows:

[0068] Step 1: Read the measurement signal and transform it to the time-frequency domain.

[0069] Framing and windowing are performed on the two measurement signals, and then the Fourier transform of nfft points is performed to obtain the time-frequency domain representation of the measurement signals.

[0070] Among them: frame length frame_len=512, frame shift nmov=256, fft transformation points nfft=512, window function selects Hanning window, the expression is:

[0071] Step 2: Extract single-source points.

[0072] Group the same frequency points of all frame signals into groups of 4 (finally make a group wi...

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Abstract

The invention discloses a quick source signal reconstruction method achieving blind sound source separation of two microphones, belongs to the field of speech signal processing, and particularly relates to a quick source signal reconstruction method achieving sound source separation of the two microphones on the situation that the number of sound sources and the surrounding environments are unknown. On the situation that temporal envelopes of reconstruction source signals are not influenced, a small additional phase is added to each frequency component of reconstruction signals, contribution of each source signal to a time-frequency point is approximately calculated to simulate the proportion of each source signal in the time-frequency point, and accordingly the source signals are restored. A traditional solving process of an underdetermined system of equations is avoided, calculation steps are simplified, and the aim of quickness is achieved. Accordingly, compared with an existing algorithm, the method has the advantages that calculation amount is little, and the signal-noise ratio is high on the situation that the number of the sound sources is increased.

Description

technical field [0001] The invention belongs to the field of speech signal processing, in particular to a fast source signal reconstruction method for double-microphone sound source separation where the number of sound sources and the surrounding environment are unknown. Background technique [0002] Blind sound source separation is a hot spot in the current signal processing field. It was originally to solve the "cocktail party" problem. Now it has been used in communication systems, speech enhancement, remote sensing, medical imaging, earthquake detection, geophysics, econometrics, data mining and other fields have a wide range of applications. [0003] The so-called blind sound source separation is the process of recovering the original signal only based on the observed mixed signal when the transmission channel and signal source are unknown. According to the relationship between the number of measured signals and the number of sound sources, the problem of blind sound s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L21/0272
Inventor 贺知明刘茜茜张山陈燚
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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