| Autor: |
James K. Baker, Laurence S. Gillick, Paul G. Bamberg, Robert Roth |
| Rok vydání: |
1991 |
| Předmět: |
|
| Zdroj: |
The Journal of the Acoustical Society of America. 90:2881-2881 |
| ISSN: |
0001-4966 |
| DOI: |
10.1121/1.402379 |
| Popis: |
A first speech recognition method receives an acoustic description of an utterance to be recognized and scores a portion of that description against each of a plurality of cluster models representing similar sounds from different words. The resulting score for each cluster is used to calculate a word score for each word represented by that cluster. Preferably these word scores are used to prefilter vocabulary words, and the description of the utterance includes a succession of acoustic decriptions which are compared by linear time alignment against a succession of acoustic models. A second speech recognition method is also provided which matches an acoustic model with each of a succession of acoustic descriptions of an utterance to be recognized. Each of these models has a probability score for each vocabulary word. The probability scores for each word associated with the matching acoustic models are combined to form a total score for that word. The preferred speech recognition method calculates to separate word scores for each currently active vocabulary word from a common succession of sounds. Preferably the first scores is calculated by a time alignment method, while the second score is calculated by a time independent method. Preferably this calculation of two separate word scores is used in one of multiple word-selecting phase of a recognition process, such as in the prefiltering phase. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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