A joint decoding algorithm for multiple-example-based addition of words to a pronunciation lexicon

We propose an algorithm that enables joint Viterbi decoding of multiple independent audio recordings of a word to derive its pronunciation. Experiments show that this method results in better pronunciation estimation and word recognition accuracy than that obtained either with a single example of th...

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Published in:2009 IEEE International Conference on Acoustics, Speech and Signal Processing pp. 4293 - 4296
Main Authors: Bansal, D., Nair, N., Singh, R., Raj, B.
Format: Conference Proceeding
Language:English
Published: IEEE 01.04.2009
Subjects:
Automatic speech recognition
Bayesian methods
Decoding
Hidden Markov models
Joint decoding
Lattices
Probability distribution
Pronunciation estimation
Speech recognition
US Department of Transportation
Viterbi algorithm
ISBN:9781424423538, 1424423538
ISSN:1520-6149
Online Access:Get full text
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Abstract We propose an algorithm that enables joint Viterbi decoding of multiple independent audio recordings of a word to derive its pronunciation. Experiments show that this method results in better pronunciation estimation and word recognition accuracy than that obtained either with a single example of the word or using conventional approaches to pronunciation estimation using multiple examples.
AbstractList We propose an algorithm that enables joint Viterbi decoding of multiple independent audio recordings of a word to derive its pronunciation. Experiments show that this method results in better pronunciation estimation and word recognition accuracy than that obtained either with a single example of the word or using conventional approaches to pronunciation estimation using multiple examples.
Author Bansal, D.
Singh, R.
Raj, B.
Nair, N.
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Snippet We propose an algorithm that enables joint Viterbi decoding of multiple independent audio recordings of a word to derive its pronunciation. Experiments show...
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StartPage 4293
SubjectTerms Automatic speech recognition
Bayesian methods
Decoding
Hidden Markov models
Joint decoding
Lattices
Probability distribution
Pronunciation estimation
Speech recognition
US Department of Transportation
Viterbi algorithm
Title A joint decoding algorithm for multiple-example-based addition of words to a pronunciation lexicon
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