Robust automatic time alignment of orthographic transcriptions with unconstrained speech

A method for automatic time alignment of orthographically transcribed speech using supervised speaker-independent automatic speech recognition based on the orthographic transcription, an online dictionary, and HMM phone models is presented. This method successfully aligns transcriptions with speech...

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Bibliographic Details
Main Authors: Wheatley, B., Doddington, G., Hemphill, C., Godfrey, J., Holliman, E., McDaniel, J., Fisher, D.
Format: Conference Proceeding
Language:English
Subjects:
Acoustic noise
Dictionaries
Hidden Markov models
Instruments
Robustness
Speech enhancement
Speech recognition
Telephony
Timing
Online Access:Request full text
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Summary:A method for automatic time alignment of orthographically transcribed speech using supervised speaker-independent automatic speech recognition based on the orthographic transcription, an online dictionary, and HMM phone models is presented. This method successfully aligns transcriptions with speech in unconstrained 5 to 10 min conversations collected over long-distance telephone lines. It requires minimal manual processing and generally produces correct alignments despite the challenging nature of the data. The robustness and efficiency of the method make it a practical tool for very large speech corpora.< >
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.1992.225853