Abstract
Results are presented of experiments on speaker-independent phonetic transcription of fluent speech. The acoustic-phonetic model is a 38,505-parameter continuously variable duration hidden Markov model which allows real-time phonetic transcription to be performed by means of a modified Viterbi algorithm. The model was trained on 3020 sentences from the TIMIT database. Testing was performed on the remaining 180 sentences. In a test without lexical or syntactic constraints, the authors obtained 52% correct phonetic transcription with 12% insertions. The design of a system for recognition of fluent speech based on technique for phonetic transcription is described.
Original language | English (US) |
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Pages (from-to) | 441-444 |
Number of pages | 4 |
Journal | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
Volume | 1 |
State | Published - 1989 |
Externally published | Yes |
Event | 1989 International Conference on Acoustics, Speech, and Signal Processing - Glasgow, Scotland Duration: May 23 1989 → May 26 1989 |
ASJC Scopus subject areas
- Software
- Signal Processing
- Electrical and Electronic Engineering