• Publications
  • Influence
An audio-visual corpus for speech perception and automatic speech recognition.
TLDR
An audio-visual corpus has been collected to support the use of common material in speech perception and automatic speech recognition studies. Expand
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Robust automatic speech recognition with missing and unreliable acoustic data
TLDR
This paper describes an approach to robust ASR which acknowledges the fact that some spectro-temporal regions will be dominated by noise. Expand
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A glimpsing model of speech perception in noise.
  • M. Cooke
  • Computer Science, Medicine
  • The Journal of the Acoustical Society of America
  • 28 February 2006
Do listeners process noisy speech by taking advantage of "glimpses"-spectrotemporal regions in which the target signal is least affected by the background? This study used an automatic speechExpand
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Computational auditory scene analysis
TLDR
We present a sound source segregation system that is consistent with psychological and physiological findings and is able to segregate speech from a variety of intrusive sounds, including other speech, with some success. Expand
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Modelling auditory processing and organisation
  • M. Cooke
  • Computer Science
  • Distinguished dissertations in computer science
  • 24 September 1993
Acknowledgments 1. Introduction 2. The auditory periphery: physiology, function and a computer model 3. Auditory representations 4. Modelling auditory scene exploration 5. Implementation of auditoryExpand
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Effect of masker type on native and non-native consonant perception in noise.
Spoken communication in a non-native language is especially difficult in the presence of noise. This study compared English and Spanish listeners' perceptions of English intervocalic consonants as aExpand
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Speech production modifications produced by competing talkers, babble, and stationary noise.
  • Youyi Lu, M. Cooke
  • Computer Science, Medicine
  • The Journal of the Acoustical Society of America
  • 10 November 2008
Noise has an effect on speech production. Stationary noise and babble have been used in the past but the effect of a competing talker, which might be expected to cause different types of disruption,Expand
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Decoding speech in the presence of other sources
TLDR
In this paper, we propose a statistical theory of speech recognition in the presence of other acoustic sources. Expand
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Monaural speech separation and recognition challenge
TLDR
Robust speech recognition in everyday conditions requires the solution to a number of challenging problems, not least the ability to handle multiple sound sources. Expand
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Non-native speech perception in adverse conditions: A review
TLDR
We review experimental studies on non-native listening in adverse conditions, organised around three principal contributory factors: the task facing listeners, the effect of adverse conditions on speech, and the differences among listener populations. Expand
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