About improving recognition of spontaneously uttered French city-names
| Autor: | X. Lamming, Alexandre Ferrieux, Denis Jouvet, Jean Monne, C. Raix, Lionel Delphin-Poulat, Katarina Bartkova |
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| Rok vydání: | 2003 |
| Předmět: |
Vocabulary
Computer science business.industry media_common.quotation_subject Speech recognition Pronunciation Speaker recognition computer.software_genre Lexicon Task (project management) Noise (video) Artificial intelligence business Adaptation (computer science) computer Natural language processing media_common |
| Zdroj: | ICASSP (1) |
| DOI: | 10.1109/icassp.2003.1198838 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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