Neural Speech Enhancement Using Dual Extended Kalman Filtering
نویسندگان
چکیده
The removal of noise from speech signals has applications ranging from speech enhancement for cellular communications, to front ends for speech recognition systems. Spectral techniques are commonly used in these applications, but frequently result in audible distortion of the signal. A nonlinear time-domain method called dual extended Kalman filtering (DEKF) is presented that demonstrates significant advantages for removing nonstationaryand colored noise from speech.
منابع مشابه
Removal of noise from speech using the dual EKF algorithm
Noise reduction for speech signals has applications ranging from speech enhancement for cellular communications, to front ends for speech recognition systems. A neural network based time-domain method called Dual Extended Kalman Filtering (Dual EKF) is presented for removing nonstationary and colored noise from speech. This paperdescribes the algorithm and provides a set of experimental results.
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