Robust Speech Enhancement Method and System Based on Mouth-Binaural Room Impulse Response
An impulse response, binaural room technology, applied in speech analysis, instruments, etc., can solve the problem of not considering the influence of the acoustic model of the binaural near-field model, so as to solve the position estimation error and the position disturbance is too sensitive and high robustness , The effect of suppressing the far-field co-directional interference sound source
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Embodiment 1
[0107] Figure 1 and figure 2 As shown, Embodiment 1 of the present invention provides a robust speech enhancement method based on mouth-binaural room impulse response. The Brüel&Kjaer 4128C artificial head and torso simulator (Head And Torso Simulator, HATS) and three MEMS dual microphone arrays with an aperture of about 1.5 cm were used to measure the multi-channel port-binaural room impulse response. Two dual MEMS microphone chips are fixed on the outside of the wireless earphone, and the wireless earphone is worn in the artificial ear. The front and rear side microphones of the right ear of the artificial head are respectively No. 1 microphone and No. 2 microphone, and the front and rear side microphones of the left ear of the artificial head are No. 3 microphone and No. 4 microphone respectively. Another double MEMS microphone chip is fixed at the front end bracket of the artificial mouth, and the left and right sides of the chip are No. 5 microphone and No. 6 microphone....
Embodiment 2
[0115]Embodiment 2 of the present invention provides a robust speech enhancement system based on mouth-binaural room impulse response. The system includes: a signal acquisition module, a weight vector calculation module and an enhanced output module;
[0116] The signal acquisition module is used to obtain the original signal with noise;
[0117] The weight vector calculation module is used to extract several groups of multi-channel port-binaural room impulse responses from the pre-established multi-channel port-binaural room impulse response database; The transformation is converted into a frequency-domain transfer function, and the frequency-domain transfer function is used as a steering vector to form a steering vector matrix; the eigenvalue decomposition of the steering vector matrix is performed, and the main eigenvectors are constrained while minimizing the output signal energy. By solving the convex The optimization problem is calculated to obtain the beamforming wei...
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