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001 | 9.890766 |
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003 | CaOODSP |
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005 | 20221107172708 |
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006 | m o d f |
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007 | cr mn||||||||| |
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008 | 200821t19921992onca ob f000 0 eng d |
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040 | |aCaOODSP|beng|erda|cCaOODSP |
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041 | 0 |aeng|beng|bfre |
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086 | 1 |aCo24-3/8-1992-1E-PDF |
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100 | 1 |aTreurniet, W. C. |q(William C.)|eauthor. |
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245 | 10|aNeural network classifier architectures for phoneme recognition / |cby William Treurniet. |
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264 | 1|aOttawa : |bCommunications Research Centre, Broadcast Technologies Research = Centre de recherches sur les communications, Recherche en technologies de radiodiffusion, |c1992. |
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264 | 4|c©1992. |
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300 | |a1 online resource (iii, 38 pages) : |billustrations. |
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336 | |atext|btxt|2rdacontent |
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337 | |acomputer|bc|2rdamedia |
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338 | |aonline resource|bcr|2rdacarrier |
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490 | 1 |aCRC technical note ; |vno. CRC-TN-92-001 |
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500 | |a"Ottawa, March 26, 1992." |
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500 | |aDigitized edition from print [produced by Innovation, Science and Economic Development Canada]. |
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504 | |aIncludes bibliographical references (pages 36-38). |
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520 | 3 |a"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. |
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530 | |aIssued also in print format. |
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546 | |aIncludes abstracts in English and French. |
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650 | 0|aAutomatic speech recognition. |
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650 | 0|aNeural networks (Computer science) |
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650 | 6|aReconnaissance automatique de la parole. |
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650 | 6|aRéseaux neuronaux (Informatique) |
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710 | 2 |aCommunications Research Centre (Canada), |eissuing body. |
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830 | #0|aCRC technical note ;|vno. 92-001.|w(CaOODSP)9.882494 |
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856 | 40|qPDF|s1.46 MB|uhttps://publications.gc.ca/collections/collection_2020/isde-ised/Co24/Co24-3-8-1992-1-eng.pdf |
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