TY - JOUR
T1 - SEDA
T2 - A tunable Q-factor wavelet-based noise reduction algorithm for multi-talker babble
AU - Soleymani, Roozbeh
AU - Selesnick, Ivan W.
AU - Landsberger, David M.
N1 - Funding Information:
We appreciate the efforts of all of subjects who provided their valuable time. The authors also thank Natalia Stupak for coordinating the tests. Support for this research was provided by the National Institutes of Health/National Institute on Deafness and Other Communication Disorders ( R01 DC012152 ; PI: Landsberger) as well as an NYU School of Medicine Applied Research Support Fund internal grant.
Publisher Copyright:
© 2017 Elsevier B.V.
PY - 2018/2
Y1 - 2018/2
N2 - We introduce a new wavelet-based algorithm to enhance the quality of speech corrupted by multi-talker babble noise. The algorithm comprises three stages: The first stage classifies short frames of the noisy speech as speech-dominated or noise-dominated. We design this classifier specifically for multi-talker babble noise. The second stage performs preliminary de-nosing of noisy speech frames using oversampled wavelet transforms and parallel group thresholding. The final stage performs further denoising by attenuating residual high frequency components in the signal produced by the second stage. A significant improvement in intelligibility and quality was observed in evaluation tests of the algorithm with cochlear implant users.
AB - We introduce a new wavelet-based algorithm to enhance the quality of speech corrupted by multi-talker babble noise. The algorithm comprises three stages: The first stage classifies short frames of the noisy speech as speech-dominated or noise-dominated. We design this classifier specifically for multi-talker babble noise. The second stage performs preliminary de-nosing of noisy speech frames using oversampled wavelet transforms and parallel group thresholding. The final stage performs further denoising by attenuating residual high frequency components in the signal produced by the second stage. A significant improvement in intelligibility and quality was observed in evaluation tests of the algorithm with cochlear implant users.
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U2 - 10.1016/j.specom.2017.11.004
DO - 10.1016/j.specom.2017.11.004
M3 - Article
AN - SCOPUS:85037544634
SN - 0167-6393
VL - 96
SP - 102
EP - 115
JO - Speech Communication
JF - Speech Communication
ER -