Speaker Identification And Verification Of Noisy-Echoed Speech Using Gaussian Mixture Models
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چکیده
— The two major applications of speaker recognition applications are speaker verification and speaker identification. But in most of the cases the signal is corrupted with background interferences such as noise and echo. This paper proposes the method of speaker recognition and identification after the noise separation and echo cancellation. Support vector machine(svm) classification based signal separation is adopted here and general kalman filter is used for echo cancellation. Adapted gaussian mixture models along with universal background model(ubm) is used for speaker verification and identification tasks.
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