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Automatic speech recognition

Name: Automatic speech recognition
Creator: Douglas O'Shaughnessy
Keywords: 3. Good health

descriptionPublicationkeyboard_double_arrow_right Article , Part of book or chapter of book , Other literature type 01 Jan 2009Publisher:IEEEJournal:2015 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)

Authors: Douglas O'Shaughnessy;

doi: 10.1109/chilecon.2015.7400411 , 10.1109/9780470546475.ch10

Automatic speech recognition

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Abstract

This Plenary presents automatic speech recognition (ASR) as a task of artificial intelligence. The basis, the methodology, spectral processing, distance measures for speech, segmentation speech, spectral and temporal variability, application of Markov Models, noise robustness, Language Models for ASR, are presented.

Related Organizations

McGill University
Canada
University of Montreal
Canada

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	7
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average