Speech recognition in noisy environments : a survey / Yifan Gong and William C. Treurniet. : Co24-3/8-1993-2E-PDF

"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.

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Renseignements sur la publication
Ministère/Organisme Communications Research Centre (Canada), issuing body.
Titre Speech recognition in noisy environments : a survey / Yifan Gong and William C. Treurniet.
Titre de la série [CRC technical note] ; CRC-TN 93-002
Type de publication Série - Voir l'enregistrement principal
Langue [Anglais]
Format Électronique
Document électronique
Note(s) "June, 1993."
Digitized edition from print [produced by Innovation, Science and Economic Development Canada].
Includes bibliographical references (pages 19-28).
Issued also in print format.
Information sur la publication Ottawa : Broadcast Technologies Research Branch, Communications Research Centre, Department of Communications, 1993.
Auteur / Contributeur Gong, Yifan, author.
Description 1 online resource (v, 28 pages).
Numéro de catalogue
  • Co24-3/8-1993-2E-PDF
Descripteurs Automatic speech recognition.
Reconnaissance automatique de la parole.
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