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On the Adequacy of Baseform Pronunciations and Pronunciation Variants
This video was recorded at Joint AMI/PASCAL/IM2/M4 Workshop on Multimodal Interaction and Related Machine Learning Algorithms, Martigny 2004. This paper presents an approach to automatically extract and evaluate the ``stability'' of pronunciation variants (i.e., adequacy of the model to accommodate this variability), based on multiple pronunciations of each lexicon words and the knowledge of a reference baseform pronunciation. Most approaches toward modelling pronunciation variability in speech recognition are based on the inference (through an ergodic HMM model) of a pronunciation graph (including all pronunciation variants), usually followed by a smoothing (e.g., Bayesian) of the resulting graph.
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This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States
