[PDF][PDF] Speaker recognition from noisy spoken sentences
FK Faek, AK Al-Talabani - International Journal of Computer …, 2013 - researchgate.net
International Journal of Computer Applications, 2013•researchgate.net
In this paper a text independent speaker recognizer from controlled noisy speech signals
has been investigated. A recorded data is used for 20 Kurdish speakers (10 males, and 10
females). The feature used in this work is the MFCC, and k-NN is used as a classifier. The
recognition performance from the noisy speech signals has been improved by a denoising
technique using wavelet transform. The result show that the de-noising technique could
improve the performance of speaker recognizer by about 36%.
has been investigated. A recorded data is used for 20 Kurdish speakers (10 males, and 10
females). The feature used in this work is the MFCC, and k-NN is used as a classifier. The
recognition performance from the noisy speech signals has been improved by a denoising
technique using wavelet transform. The result show that the de-noising technique could
improve the performance of speaker recognizer by about 36%.
Abstract
In this paper a text independent speaker recognizer from controlled noisy speech signals has been investigated. A recorded data is used for 20 Kurdish speakers (10 males, and 10 females). The feature used in this work is the MFCC, and k-NN is used as a classifier. The recognition performance from the noisy speech signals has been improved by a denoising technique using wavelet transform. The result show that the de-noising technique could improve the performance of speaker recognizer by about 36%.
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