NDLI: Robust recognition of cellular telephone speech by adaptive vector quantization

Content Provider	IEEE Xplore Digital Library
Author	Sonmez, M.K. Rajasekaran, R. Baras, J.S.
Copyright Year	1996
Description	Author affiliation: Speech Res. Lab., Texas Instrum. Inc., Dallas, TX, USA (Sonmez, M.K.)
Abstract	The performance degradation as a result of acoustical environment mismatch remains an important practical problem in speech recognition. The problem carries a greater significance in applications over telecommunication channels, especially with the wider use of personal communications systems such as cellular phones which invariably present challenging acoustical conditions. In this work, we introduce a vector quantization (VQ) based compensation technique which both makes use of a priori information about likely acoustical environments and adapts to the test environment to improve recognition. The technique is progressive and requires neither simultaneously recorded speech from the training and the testing environments nor EM-type batch iterations. Instead of using simultaneously recorded data, the integrity of the updated VQ codebooks with respect to acoustical classes is maintained by endowing the codebooks with a topology and using transformations which preserve the topology of the reference environment. We report results on the McCaw Cellular Corpus where the technique decreases the word error for continuous ten digit recognition of cellular hands free microphone speech with land line trained models from 23.8% to 13.6% and the speaker dependent voice calling sentence error from 16.5% to 10.6%.
Starting Page	503
Ending Page	506
File Size	448181
Page Count	4
File Format	PDF
ISBN	0780331923
ISSN	15206149
DOI	10.1109/ICASSP.1996.541143
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-05-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Speech recognition Telephony Acoustic testing Topology Degradation Communication channels Cellular phones Vector quantization Microphones
Content Type	Text
Resource Type	Article

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