Invention Grant
US08825481B2 Subword-based multi-level pronunciation adaptation for recognizing accented speech 有权
用于识别重音语音的基于字的多级发音适应

Subword-based multi-level pronunciation adaptation for recognizing accented speech
Abstract:
Techniques are described for training a speech recognition model for accented speech. A subword parse table is employed that models mispronunciations at multiple subword levels, such as the syllable, position-specific cluster, and/or phone levels. Mispronunciation probability data is then generated at each level based on inputted training data, such as phone-level annotated transcripts of accented speech. Data from different levels of the subword parse table may then be combined to determine the accented speech model. Mispronunciation probability data at each subword level is based at least in part on context at that level. In some embodiments, phone-level annotated transcripts are generated using a semi-supervised method.
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