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: Byrne, W., Venkataramani, V., Kamm, T., Zheng, T.F., Song, Z., Fung, P., Lui, Y., Ruhi, U.
Format: Conference Proceeding
Language:English
Subjects:
Automatic speech recognition
Broadcasting
Cities and towns
Decision trees
Natural languages
Predictive models
Speech processing
Speech recognition
Vocabulary
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container_start_page 569
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creator Byrne, W.
Venkataramani, V.
Kamm, T.
Zheng, T.F.
Song, Z.
Fung, P.
Lui, Y.
Ruhi, U.
description 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.
doi_str_mv 10.1109/ICASSP.2001.940895
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ispartof 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221), 2001, Vol.1, p.569-572 vol.1
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2379-190X
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source IEEE Xplore All Conference Series
subjects Automatic speech recognition
Broadcasting
Cities and towns
Decision trees
Natural languages
Predictive models
Speech processing
Speech recognition
Vocabulary
title Automatic generation of pronunciation lexicons for Mandarin spontaneous speech
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