DocumentCode
3424930
Title
Temporal selective dereverberation of noisy speech using one microphone
Author
Habets, Emanuël A P ; Gaubitch, Nikolay D. ; Naylor, Patrick A.
Author_Institution
Sch. of Eng., Bar-Ilan Univ., Ramat-Gan
fYear
2008
fDate
March 31 2008-April 4 2008
Firstpage
4577
Lastpage
4580
Abstract
Reverberant speech can be described as sounding distant with noticeable coloration and echo. These detrimental perceptual effects are caused by early and late reflections, respectively, and reduces the fidelity and intelligibility of speech. It is well-known that the echo density of the reflections increases with time. Therefore, the temporal structure of early and late reflections differs. In this paper, we combine two different dereverberation techniques that were recently developed to suppress early and late reverberation separately. First, late reverberation is suppressed using a spectral processing technique that is based on a statistical reverberation model. Secondly, early reverberation and residual late reverberation are suppressed using a linear prediction (LP) residual processing technique. In addition, an objective measure based on the kurtosis of the LP residual is proposed to measure the coloration caused by early reflections. Experimental results demonstrate the beneficial use of the new single microphone system that reduces echo and coloration with little speech distortion.
Keywords
echo; microphones; reverberation; signal denoising; speech processing; coloration; echo; linear prediction residual processing; microphone; noisy speech; spectral processing; speech distortion; speech intelligibility; statistical reverberation; temporal selective dereverberation; Acoustic measurements; Acoustic reflection; Background noise; Distortion measurement; Microphones; Oral communication; Reverberation; Signal processing algorithms; Speech enhancement; Speech processing; Acoustic Signal Processing; LP Residual Enhancement; Spectral Enhancement; Speech Dereverberation;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location
Las Vegas, NV
ISSN
1520-6149
Print_ISBN
978-1-4244-1483-3
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2008.4518675
Filename
4518675
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