About improving recognition of spontaneously uttered French city-names

This paper deals with the recognition of French city-names over the telephone. This recognition task, critical in many applications, involves a 40,000 city-name vocabulary, ranging from short monosyllabic words to long official compound-names. Data collected from a field experiment are analyzed, and...

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Bibliographic Details
Published in2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03) Vol. 1; p. I
Main Authors Jouvet, D., Bartkova, K., Delphin-Poulat, L., Ferrieux, A., Lamming, X., Monne, J., Raix, C.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2003
Subjects
Acoustic noise
Cities and towns
Data analysis
Hidden Markov models
Noise figure
Speech analysis
Speech enhancement
Speech recognition
Vocabulary
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Summary:This paper deals with the recognition of French city-names over the telephone. This recognition task, critical in many applications, involves a 40,000 city-name vocabulary, ranging from short monosyllabic words to long official compound-names. Data collected from a field experiment are analyzed, and several ways of improving speech recognition performance are investigated. This includes a careful checking of the pronunciation lexicon, acceptation of shorter forms (common names), adaptation of the acoustic models and introduction of specific noise models as well as a few frequent words and expressions to facilitate out-of-vocabulary data rejection. Experiments show that all these techniques help improving the overall recognition performances and nicely combine together.
ISBN:9780780376632
0780376633
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2003.1198838