Neural network classifier architectures for phoneme recognition / by William Treurniet.: Co24-3/8-1992-1E-PDF
"Automatic recognition of words in continuous speech is difficult to do with whole-word template models, especially when the vocabulary is reasonably large. Instead, the currently preferred approaches for this task hypothesize the presence of words or sub-words, such as syllables or phonemes, on the basis of likelihood estimates obtained from comparisons of the acoustic data with statistical models derived from training data. This paper is concerned with the application of artificial neural networks, trained with the back-propagation learning algorithm, to modelling phonemes extracted from the DARPA TIMIT multi-speaker, continuous speech data base"--Abstract.
Permanent link to this Catalogue record:
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| Department/Agency | Communications Research Centre (Canada), issuing body. |
|---|---|
| Title | Neural network classifier architectures for phoneme recognition / by William Treurniet. |
| Series title | CRC technical note ; no. CRC-TN-92-001 |
| Publication type | Series - View Master Record |
| Language | [English] |
| Format | Electronic |
| Electronic document | |
| Note(s) | "Ottawa, March 26, 1992." Digitized edition from print [produced by Innovation, Science and Economic Development Canada]. Includes bibliographical references (pages 36-38). Issued also in print format. Includes abstracts in English and French. |
| Publishing information | Ottawa : Communications Research Centre, Broadcast Technologies Research = Centre de recherches sur les communications, Recherche en technologies de radiodiffusion, 1992. ©1992. |
| Author / Contributor | Treurniet, W. C. (William C.)author. |
| Description | 1 online resource (iii, 38 pages) : illustrations. |
| Catalogue number |
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| Subject terms | Automatic speech recognition. Neural networks (Computer science) Reconnaissance automatique de la parole. Réseaux neuronaux (Informatique) |