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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Blomberg, M. Elenius, K. |
| Copyright Year | 1996 |
| Description | Author affiliation: Dept. of Speech, Music & Hearing, KTH, Stockholm, Sweden (Blomberg, M.) |
| Abstract | With limited training data, infrequent triphone models for speech recognition are not observed in sufficient numbers. In this paper, a speech production approach is used to predict the characteristics of unseen triphones by concatenating diphones and/or monophones in the parametric representation of a formant speech synthesiser. The parameter trajectories are estimated by interpolation between the endpoints of the original units. The spectral states of the created triphone are generated by the speech synthesiser. Evaluation of the proposed technique has been performed using spectral error measurements and recognition candidate rescoring of N-best lists. In both cases, the created triphones are shown to perform better than the shorter units from which they were constructed. |
| Starting Page | 2316 |
| Ending Page | 2319 |
| File Size | 441437 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780335554 |
| DOI | 10.1109/ICSLP.1996.607271 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1996-10-03 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Interpolation Vocabulary Parameter estimation Training data Hidden Markov models Speech recognition Production Auditory system Speech synthesis Context modeling |
| Content Type | Text |
| Resource Type | Article |
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