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2009
IEEE

Unsupervised pronunciation validation

10 years 4 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 the conventional supervised method of forced alignment with a reference. The success of this method is independently demonstrated using three metrics from largescale speech tasks: word error rates for large vocabulary continuous speech recognition, decision error tradeoff curves for spoken term detection, and phone error rates compared to a handcrafted pronunciation lexicon. The experiments were conducted using state-of-the-art recognition, indexing, and retrieval systems. The results were compared across many terms, hundreds of hours of speech, and well known data sets.
Christopher M. White, Abhinav Sethy, Bhuvana Ramab
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where ICASSP
Authors Christopher M. White, Abhinav Sethy, Bhuvana Ramabhadran, Patrick Wolfe, Erica Cooper, Murat Saraclar, James K. Baker
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