DocumentCode :
2963920
Title :
Two-Stage Dereverberation with Integrated Reverberation and Noise Estimation
Author :
Sugiyama, Akihiko ; Gattoni, L.
Author_Institution :
Media & Inf. Res. Lab., NEC Corp., Kawasaki
fYear :
2006
fDate :
24-27 Sept. 2006
Firstpage :
322
Lastpage :
327
Abstract :
This paper proposes a two-stage dereverberation algorithm with integrated reverberation and noise estimation. In the first stage, an inverse filter to the room impulse response suppresses reverberation by early reflections. Minimum mean-square error short-time spectral amplitude estimator in the second stage minimizes influence of both late reflections and ambient noise, simultaneously. Due to this integrated structure, a postprocessing noise suppressor can be eliminated. Evaluations with different room impulse responses show that the maximum ACR (absolute category rating) score improvement over a conventional algorithm exceeds 1.0. It is also shown that a CCR (comparison category rating) score of as much as 1.3 is obtained compared to the conventional algorithms
Keywords :
amplitude estimation; filtering theory; least mean squares methods; reverberation; signal denoising; spectral analysis; transient response; inverse filter; minimum mean-square error; noise estimation; noise suppression; room impulse response; spectral amplitude estimator; two-stage dereverberation algorithm; Acoustic reflection; Convolution; Finite impulse response filter; Frequency domain analysis; Frequency estimation; Microphones; Reverberation; Signal processing; Smoothing methods; Speech enhancement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Signal Processing Workshop, 12th - Signal Processing Education Workshop, 4th
Conference_Location :
Teton National Park, WY
Print_ISBN :
1-4244-3534-3
Electronic_ISBN :
1-4244-0535-1
Type :
conf
DOI :
10.1109/DSPWS.2006.265399
Filename :
4041082
Link To Document :
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