Speaker independent phonetic transcription of fluent speech for large vocabulary speech recognition
HLT '89 Proceedings of the workshop on Speech and Natural Language
Fast search algorithms for connected phone recognition using the stochastic segment model
HLT '90 Proceedings of the workshop on Speech and Natural Language
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A series of experiments for speaker-independent, continuous speech phone recognition have been carried out using the recently recorded BREF corpus. Our experiments are the first to use this database, and are meant to provide a baseline performance evaluation for vocabulary independent phone recognition. The system was trained using hand-verified data from 43 speakers. Using 35 context-independent phone models, a baseline phone accuracy of 60% (no phone grammar) has been obtained on an independent test set of 7635 phone segments from 19 speakers. Includingphone bigram probabilities as phonotactic constraints results in a performance of 63.5%. A phone accuracy of 68.6% (73.3 % correct) was obtained with 428 context dependent models.