A Posterior-Based Multistream Formulation for G2P Conversion.

IEEE Signal Processing Letters(2017)

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摘要
In the literature, a number of approaches have been proposed for learning grapheme-to-phoneme (G2P) relationship and inferring pronunciations. In this letter, we present a novel multistream framework for G2P conversion, where various machine learning techniques providing different estimates of probability of phonemes given graphemes can be effectively combined during pronunciation inference. More ...
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关键词
Hidden Markov models,Acoustics,Training,Estimation,Context,Decision trees,Probabilistic logic
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