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Automatic generation of pronunciation lexicons for Mandarin spontaneous speech
Pronunciation modeling for large vocabulary speech recognition attempts to improve recognition accuracy by identifying and modeling pronunciations that are not in the ASR systems pronunciation lexicon. Pronunciation variability in spontaneous Mandarin is studied using the newly created CASS corpus o...
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Main Authors: | , , , , , , , |
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Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Request full text |
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Summary: | Pronunciation modeling for large vocabulary speech recognition attempts to improve recognition accuracy by identifying and modeling pronunciations that are not in the ASR systems pronunciation lexicon. Pronunciation variability in spontaneous Mandarin is studied using the newly created CASS corpus of phonetically annotated spontaneous speech. Pronunciation modeling techniques developed for English,are applied to this corpus to train pronunciation models which are then used for Mandarin broadcast news transcription. |
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ISSN: | 1520-6149 2379-190X |
DOI: | 10.1109/ICASSP.2001.940895 |