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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ukita, T. Nitta, T. Watanabe, S. |
| Copyright Year | 1986 |
| Description | Author affiliation: Toshiba Corp., Kawasaki, Japan (Ukita, T.) |
| Abstract | A speaker independent recognition algorithm for connected words is described which uses a word boundary hypothesizer to reduce computational cost, as well as a robust word classifier and an effective scoring strategy. The word boundary hypothesizer predicts possible candidates for word boundaries at a variable rate which is controlled by a difference in adjacent frame spectra, obtained by bandpass filters. It reduces computational cost of the algorithm to about one-tenth, compared with a conventional approach. The word classifier uses a statistical pattern recognition technique to calculate word similarities and discriminate a word for a provisional interval between hypothesized boundaries. As the scoring strategy for evaluating possible word strings, word scores are calculated and accumulated for continuous intervals. A word score is calculated from a word similarity by an equation which models the a posteriori probability of correct word position. An experiment was performed for 35 four-connected digits uttered by ten male speakers. The string recognition rate was 93.9% (word rate = 98.4%). It was also shown that the algorithm is superior to a method which regularly skips some frames for boundary hypothesis. |
| Starting Page | 1077 |
| Ending Page | 1080 |
| File Size | 145345 |
| Page Count | 4 |
| File Format | |
| DOI | 10.1109/ICASSP.1986.1168826 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1986-04-07 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Speech recognition Acoustic signal detection Laboratories Computational efficiency Equations Polynomials Speech analysis Information systems Research and development Robustness |
| Content Type | Text |
| Resource Type | Article |
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