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Content Provider | IEEE Xplore Digital Library |
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Author | Su-Lin Wu Kingsbury, E.D. Morgan, N. Greenberg, S. |
Copyright Year | 1998 |
Description | Author affiliation: Int. Comput. Sci. Inst., Berkeley, CA, USA (Su-Lin Wu) |
Abstract | Including information distributed over intervals of syllabic duration (100-250 ms) may greatly improve the performance of automatic speech recognition (ASR) systems. ASR systems primarily use representations and recognition units covering phonetic durations (40-100 ms). Humans certainly use information at phonetic time scales, but results from psychoacoustics and psycholinguistics highlight the crucial role of the syllable, and syllable-length intervals, in speech perception. We compare the performance of three ASR systems: a baseline system that uses phone-scale representations and units, an experimental system that uses a syllable-oriented front-end representation and syllabic units for recognition, and a third system that combines the phone-scale and syllable-scale recognizers by merging and rescoring N-best lists. Using the combined recognition system, we observed an improvement in word error rate for telephone-bandwidth, continuous numbers from 6.8% to 5.5% on a clean test set, and from 27.8% to 19.6% on a reverberant test set, over the baseline phone-based system. |
Starting Page | 721 |
Ending Page | 724 |
File Size | 533153 |
Page Count | 4 |
File Format | |
ISBN | 0780344286 |
ISSN | 15206149 |
DOI | 10.1109/ICASSP.1998.675366 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 1998-05-15 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Automatic speech recognition Speech recognition Humans System testing Speech processing Psychoacoustics Computer science Psychology Merging Error analysis |
Content Type | Text |
Resource Type | Article |
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