Speaker Independent Phonetic Transcription of Fluent Speech for Large Vocabulary Speech Recognition

This paper reports the results of our experiments on speaker independent phonetic transcription of fluent speech. Our acoustic/phonetic model is a 38505 parameter continuously variable duration hidden Markov model which allows us to perform real-time phonetic transcription by means of a modified Viterbi algorithm. The model was trained on 3020 sentences from the TIMIT data base.