NDLI: On the impact of signal preprocessing for robust distant speech recognition in adverse acoustic environments

Content Provider	IEEE Xplore Digital Library
Author	Reindl, K. Yuanhang Zheng Meier, S. Schwarz, A. Kellermann, W.
Copyright Year	2012
Description	Author affiliation: Multimedia Communications and Signal Processing, University of Erlangen-Nuremberg, Cauerstr. 7, 91058, Germany (Reindl, K.; Yuanhang Zheng; Meier, S.; Schwarz, A.; Kellermann, W.)
Abstract	In this contribution, a two-channel acoustic front-end for robust automatic speech recognition (ASR) in adverse acoustic environments is analyzed. The source signal extraction scheme combines a blocking matrix based on semi-blind source separation, which provides a continuously updated reference of all undesired components separated from the desired signal and its reflections, and a single-channel Wiener postfilter. The postfilter is directly derived from the obtained noise and interference reference signal and hence, generalizes well-known postfilter realizations. The proposed front-end and its integration into an ASR system are analyzed and evaluated with respect to keyword accuracy under reverberant conditions with unpredictable and nonstationary interferences, and for different target source distances. Evaluating a simplified front-end based on free-field assumptions, an ideal front-end, where knowledge about the true undesired components is assumed, and comparing the proposed scheme with the competitive approach of solely using multistyle training, demonstrates the importance of an adequate signal preprocessing for robust distant speech recognition.
Starting Page	131
Ending Page	135
File Size	650133
Page Count	5
File Format	PDF
ISBN	9781467321921
e-ISBN	9781467321938
DOI	10.1109/ICSPCC.2012.6335732
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Blind source extraction Speech recognition Speech enhancement Speech Acoustics Robust distant speech recognition Noise measurement Signal to noise ratio Microphones
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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