NDLI: City name recognition over the telephone

Content Provider	IEEE Xplore Digital Library
Author	Fanty, M. Schmid, P. Cole, R.
Copyright Year	1993
Description	Author affiliation: Oregon Grad. Inst. of Sci. & Technol., Beaverton, OR, USA (Fanty, M.; Schmid, P.; Cole, R.)
Abstract	The authors present a neural-network-based speech recognition system for telephone speech. A neural network classifier provides phoneme probabilities for each frame of the utterance. A dynamic programming algorithm finds the most probable sequence of words. The classifier was trained on a spoken name corpus which contained the test vocabulary and many other words. The test set consisted of 262 utterances containing 44 cities and 2 states. The best result obtained on the test set was 92.9% word accuracy (90.1% on just the city names). Removing phoneme duration constraints reduced recognition accuracy to 82%. Performance fell to 82.4% using a network trained on a large vocabulary, fluent-speech corpus. Several other experiments are reported which did not produce significant changes in system performance.<>
Starting Page	549
Ending Page	552
File Size	387886
Page Count	4
File Format	PDF
ISBN	0780374029
ISSN	15206149
DOI	10.1109/ICASSP.1993.319177
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1993-04-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cities and towns Telephony Vocabulary Speech recognition Neural networks Signal processing algorithms Dynamic programming Heuristic algorithms System testing Speech enhancement
Content Type	Text
Resource Type	Article

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