Binaural speech separation method based on support vector machine
A technology of support vector machine and speech separation, applied in speech analysis, computer parts, instruments, etc., can solve the problems of loss of separated speech and audio points, unsatisfactory performance, etc.
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[0087] Such as figure 1 As shown, the support vector machine SVM speech separation method provided by the present embodiment includes the following steps:
[0088] Step 1: Convolve the training single-sound source speech signal with head-related impulse response function HRIR at different azimuths to generate multiple single-sound source binaural sound signals at different azimuths. Among them, the azimuth angle of the sound source is represented by θ, which defines that the front of the horizontal plane is 0°, and the range of θ is [-90°, 90°], with an interval of 10°, where -90° means the front left, and 90° means directly to the right;
[0089] Head-Related Impulse Response HRIR (Head-Related Impulse Response) is the time-domain representation of Head-Related Transfer Function (HRTF). The present invention adopts the HRTF database released by the Media Laboratory of Massachusetts Institute of Technology, which contains HRIR data of different elevation angles and different...
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