Iterative filtering of phonetic transcriptions of proper nouns

This paper focuses on an approach to enhancing automatic phonetic transcription of proper nouns by using an iterative filter to retain only the most relevant part of a large set of phonetic variants, obtained by combining rule-based generation with extraction from actual audio signals. Using this te...

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Bibliographic Details
Published in2009 IEEE International Conference on Acoustics, Speech and Signal Processing pp. 4265 - 4268
Main Authors Laurent, A., Merlin, T., Meignier, S., Esteve, Y., Deleglise, P.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2009
Subjects
Automatic speech recognition
Broadcasting
Computer science
Dictionaries
Error analysis
Filtering
Filters
Iterative methods
Natural languages
Phonetic transcription
Proper nouns
Signal generators
Speech recognition
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Summary:This paper focuses on an approach to enhancing automatic phonetic transcription of proper nouns by using an iterative filter to retain only the most relevant part of a large set of phonetic variants, obtained by combining rule-based generation with extraction from actual audio signals. Using this technique, we were able to reduce the error rate affecting proper nouns during automatic speech transcription of the ESTER corpus of French broadcast news. The role of the filtering was to ensure that the new phonetic variants of proper nouns would not induce new errors in the transcription of the rest of the words.
ISBN:9781424423538
1424423538
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2009.4960571