NDLI: The ESAT 2008 system for N-Best Dutch speech recognition benchmark

Content Provider	IEEE Xplore Digital Library
Author	Demuynck, K. Puurula, A. Van Compernolle, D. Wambacq, P.
Copyright Year	2009
Description	Author affiliation: Department of Electrical Engineering, Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, B-3001, Belgium (Demuynck, K.; Puurula, A.; Van Compernolle, D.; Wambacq, P.)
Abstract	This paper describes the ESAT 2008 Broadcast News transcription system for the N-Best 2008 benchmark, developed in part for testing the recent SPRAAK Speech Recognition Toolkit. ESAT system was developed for the Southern Dutch Broadcast News subtask of N-Best using standard methods of modern speech recognition. A combination of improvements were made in commonly overlooked areas such as text normalization, pronunciation modeling, lexicon selection and morphological modeling, virtually solving the out-of-vocabulary (OOV) problem for Dutch by reducing OOV-rate to 0.06% on the N-Best development data and 0.23% on the evaluation data. Recognition experiments were run with several configurations comparing one-pass vs. two-pass decoding, high-order vs. low-order n-gram models, lexicon sizes and different types of morphological modeling. The system achieved 7.23% word error rate (WER) on the broadcast news development data and 20.3% on the much more difficult evaluation data of N-Best.
Starting Page	339
Ending Page	344
File Size	95735
Page Count	6
File Format	PDF
ISBN	9781424454785
DOI	10.1109/ASRU.2009.5373311
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-13
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech recognition Broadcasting Decoding Vocabulary Telephony Speech analysis Error analysis Loudspeakers Filtering Benchmark testing
Content Type	Text
Resource Type	Article

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