An HMM-based system for automatic segmentation and alignment of speech
نویسنده
چکیده
A system for automatic time-aligned phone transcription of spoken Swedish has been developed. Using a speech recording and an orthographic transcription of the words spoken in the recording the system is able to generate a phone-level segmentation without manual intervention. The system uses a technique based on Hidden Markov Models to position 85.5% of all boundary positions within 20 ms of manually segmented reference boundaries on a set of test recordings.
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تاریخ انتشار 2003