A Fast Source Signal Reconstruction Method for Blind Sound Source Separation with Two Microphones
A dual-microphone, source signal technology, applied in speech analysis, instruments, etc., can solve the problems of fast calculation speed, small calculation amount, high noise and so on
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[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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