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008200821s1993    onc     ob   f000 0 eng d
040 |aCaOODSP|beng|erda|cCaOODSP
0861 |aCo24-3/8-1993-2E-PDF
1001 |aGong, Yifan, |eauthor.
24510|aSpeech recognition in noisy environments : |ba survey / |cYifan Gong and William C. Treurniet.
264 1|aOttawa : |bBroadcast Technologies Research Branch, Communications Research Centre, Department of Communications, |c1993.
300 |a1 online resource (v, 28 pages).
336 |atext|btxt|2rdacontent
337 |acomputer|bc|2rdamedia
338 |aonline resource|bcr|2rdacarrier
4901 |a[CRC technical note] ; |vCRC-TN 93-002
500 |a"June, 1993."
500 |aDigitized edition from print [produced by Innovation, Science and Economic Development Canada].
504 |aIncludes bibliographical references (pages 19-28).
5203 |a"The performance levels of most current speech recognizers degrade significantly when unpredictable noise occurs during use. Such performance degradation is caused by mismatches in training and operating environments. During recent years much effort has been directed to reducing this mismatch. This paper surveys research results in the area of single microphone noisy speech recognition classified in three categories: noise resistant features and similarity measurement, speech enhancement, and speech model compensation for noise. The survey indicates that the essential points in noisy speech recognition consist of incorporating time and frequency correlations, giving more importance to high SNR portions of speech in decision making, exploiting task-specific a priori knowledge both of speech and of noise, and including auditory models in speech processing"--Abstract, page iii.
530 |aIssued also in print format.
650 0|aAutomatic speech recognition.
650 6|aReconnaissance automatique de la parole.
7102 |aCommunications Research Centre (Canada), |eissuing body.
830#0|aCRC technical note ;|vno. 93-002.|w(CaOODSP)9.882494
85640|qPDF|s1.25 MB|uhttps://publications.gc.ca/collections/collection_2020/isde-ised/Co24/Co24-3-8-1993-2-eng.pdf