A method and system for removing reverberation based on Kalman filter

Abstract

The invention discloses a method and system for removing reverberation based on Kalman filtering. The method includes: preprocessing the original signals collected by each microphone to obtain corresponding frequency domain signals, and forming input signals after delay; using Kalman The filter algorithm and the time-varying multi-channel autoregressive model estimate the reverberation signal, and the original signal collected by each microphone at the current moment is used as a reference signal, and the reverberation signal is subtracted to obtain the error signal; the Kalman gain matrix and the error signal are used to update the Kalman The coefficients of the Mann filter; the target signal is obtained by using the original signal collected by each microphone at the current moment, the input signal and the updated Kalman filter coefficient; finally, the target signal in the frequency domain is converted to the time domain by using the inverse Fourier transform. The method of the invention reduces the complexity of the adaptive multi-channel linear prediction reverberation algorithm by diagonalizing the Kalman filter state vector error covariance matrix.

Description

technical field [0001] The invention relates to the field of speech reverberation, in particular to a method and system for reverberation based on Kalman filtering. Background technique [0002] Such as figure 1 As shown, due to the reflection of sound waves by room boundaries and objects in the room, the microphone receives reflected sounds from all directions in addition to the direct sound from the sound source. Generally, the sound signal arriving 30-50 ms after the direct sound is called the early reflection sound, and the sound signal arriving after that is called the late reflection sound, that is, the reverberation tail. Psychoacoustic research has found that early reflections can enhance the intensity of direct sound and improve speech intelligibility. The reverberation signal will mask the subsequent arrival of the direct sound signal, resulting in blurred speech. In addition, the reverberation signal will also reduce the voice quality of the signal received by ...

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