International Journal of Information and Communication Technology Research
مجله بین المللی ارتباطات و فناوری اطلاعات
International Journal of Information and Communication Technology Research
Engineering & Technology
http://ijict.itrc.ac.ir
1
admin
2251-6107
2783-4425
doi
1652
25391
en
jalali
1387
12
1
gregorian
2009
3
1
1
1
online
1
fulltext
en
Noise Reduction from Speech Signal based on Wavelet Transform and Kullback-Leibler Divergence
فناوری ارتباطات
Communication Technology
پژوهشي
Research
<p>A new method for speech enhancement based on Kullback-Leibler (K-L) divergence has been presented in this paper. First, the algorithm performs wavelet-packet transform to noisy speech and decomposes it into sub-bands; then we apply a threshold on coefficients in each sub-band to obtain enhanced speech. To determine the threshold, first the distributions of noisy speech, noise and clean speech coefficients are calculated; then a symmetric K-L divergence between the noisy speech and noise distributions is calculated. Finally a speech/noise decision is made based on the calculated distance. We conducted some tests using TI.MIT database in order to assess the performance of the proposed method and to compare it to previous speech enhancement methods. The algorithm is evaluated using the Perceptual Evaluation of Speech Quality measure (PESQ) and the output SNR. We obtain an improvement of up to 2.2dB on SNR and 1.2 on PESQ for the proposed method in comparison to the results of the previous wavelet based methods.</p>
Wavelet packet decomposition, K-L divergence, noise reduction, hard threshold
21
27
http://ijict.itrc.ac.ir/browse.php?a_code=A-10-27-268&slc_lang=en&sid=1
Shima
Tabibian
1003194753284600952
1003194753284600952
Yes
Computer Engineering Department Audio and Speech Processing Lab Tehran, Iran
Ahmad
Akbari
1003194753284600953
1003194753284600953
No
Computer Engineering Department Audio and Speech Processing Lab Tehran, Iran