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ICPR
2008
IEEE
14 years 7 months ago
Application of triphone clustering in acoustic modeling for continuous speech recognition in Bengali
The performance of the acoustic models is highly reflective on the overall performance of any continuous speech recognition system. Hence generation of an accurate and robust acou...
Anupam Basu, Gaurav Garg, Pabitra Mitra, Pratyush ...
INFORMATICALT
2007
106views more  INFORMATICALT 2007»
13 years 6 months ago
Framework for Choosing a Set of Syllables and Phonemes for Lithuanian Speech Recognition
This paper describes a framework for making up a set of syllables and phonemes that subsequently is used in the creation of acoustic models for continuous speech recognition of Lit...
Sigita Laurinciukaite, Antanas Lipeika
ICASSP
2009
IEEE
14 years 1 months ago
Unsupervised pronunciation validation
This paper addresses selecting between candidate pronunciations for out-of-vocabulary words in speech processing tasks. We introduce a simple, unsupervised method that outperforms...
Christopher M. White, Abhinav Sethy, Bhuvana Ramab...
INTERSPEECH
2010
13 years 1 months ago
A spoken term detection framework for recovering out-of-vocabulary words using the web
Vocabulary restrictions in large vocabulary continuous speech recognition (LVCSR) systems mean that out-of-vocabulary (OOV) words are lost in the output. However, OOV words tend t...
Carolina Parada, Abhinav Sethy, Mark Dredze, Frede...
INTERSPEECH
2010
13 years 1 months ago
Decision tree state clustering with word and syllable features
In large vocabulary continuous speech recognition, decision trees are widely used to cluster triphone states. In addition to commonly used phonetically based questions, others hav...
Hank Liao, Christopher Alberti, Michiel Bacchiani,...