Automatic generation of pronunciation lexicons for Mandarin spontaneous speech
نویسندگان
چکیده
Pronunciation modeling for large vocabulary speech recognition attempts to improve recognition accuracy by identifying and modeling pronunciations that are not in the ASR systems pronunciation lexicon. Pronunciation variability in spontaneous Mandarin is studied using the newly created CASS corpus of phonetically annotated spontaneous speech. Pronunciation modeling techniques developed for English are applied to this corpus to train pronunciation models which are then used for Mandarin Broadcast News transcription.
منابع مشابه
Pronunciation Modeling for Spontaneous Mandarin Speech Recognition
Pronunciation variations in spontaneous speech can be classified into complete changes and partial changes. A complete change is the replacement of a canonical phoneme by another alternative phone, such as ‘b’ being pronounced as ‘p’. Partial changes are variations within the phoneme such as nasalization, centralization and voiced. Most current work in pronunciation modeling for spontaneous Man...
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