Method and system for dereverberation based on Kalman filtering

A technology of Kalman filter and Kalman filter, which is applied in speech analysis, instruments, etc., can solve problems such as voice quality degradation, and achieve the effect of reducing complexity

Active Publication Date: 2018-06-15
INST OF ACOUSTICS CHINESE ACAD OF SCI
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Problems solved by technology

However, this simplification will result in a certain degree of speech quality degradation
In addition, the algorithm only estimates one channel signal, in practice it is necessary to calculate multiple channels

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  • Method and system for dereverberation based on Kalman filtering
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  • Method and system for dereverberation based on Kalman filtering

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Embodiment Construction

[0063] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0064] A low-complexity de-reverberation method based on Kalman filtering, the method comprising:

[0065] Step 1) The signal y collected by M microphones m (n), 1≤m≤M to perform framing, windowing and Fourier transform to obtain the corresponding frequency domain signal Y m (k,n), for simplified representation, the frequency subscript k will be omitted below;

[0066] Frequency domain signal Y m The calculation of (k,n) is calculated according to formula (1):

[0067]

[0068] Among them, k is the frequency subscript, N is the number of Fourier transform points; n is the time frame subscript, w STFT (l) is the short-time Fourier transform analysis window function, and R represents frame shift;

[0069] Step 2) Constitute the input signal matrix Y(n-D) from the frequency domain signals of M microphones at time n-D to n-L, and use the ...

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Abstract

The present invention discloses a method and a system for dereverberation based on Kalman filtering. The method comprises the steps of: performing preprocessing of original signals collected by each microphone to obtain corresponding frequency domain signals, and forming input signals after delay; employing the Kalman filtering algorithm and a time-varying multichannel autoregressive model to estimate reverberation signals, taking the original signals collected by each microphone at the current moment as reference signals, and subtracting the reverberation signals from the reference signals toobtain error signals; employing a Kalman gain matrix and error signals to update a Kalman filter coefficient; employing the original signals collected by each microphone at the current moment, the input signals and the updated Kalman filter coefficient to obtain target signals; and finally, employing inverse Fourier transform to convert frequency domain object signals to time domain object signals. The method performs diagonalization of a Kalman filter state vector error covariance matrix to reduce the complexity of the adaptive multi-channel linear prediction dereverberation algorithm.

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 ...

Claims

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Application Information

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IPC IPC(8): G10L19/04G10L19/26G10L21/0208G10L21/0232
CPCG10L19/04G10L19/26G10L21/0208G10L21/0232G10L2021/02082
Inventor齐园蕾杨飞然杨军
OwnerINST OF ACOUSTICS CHINESE ACAD OF SCI