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From macroscopic to microscopic glimpse-based models of intelligibility prediction
Martin Cooke
,
Yan Tang
, Mate A. Toth
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peer-review
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Keyphrases
Speech in Noise
100%
Intelligibility Prediction
100%
Suprathreshold
66%
Masker
66%
Quantitative Estimation
33%
Miller
33%
Redundancy
33%
Spectro-temporal
33%
Natural Speech
33%
Misperception
33%
Current Contribution
33%
Token
33%
Synthetic Speech
33%
Misallocation
33%
Speech Intelligibility in Noise
33%
Informational Masking
33%
Licklider
33%
Speech Style
33%
Speech Recognition Score
33%
Speech Masking
33%
Objective Intelligibility
33%
Interrupted Speech
33%
Arts and Humanities
Masking
100%
Metrics
50%
Temporal
50%
Corpus
50%
Speech Intelligibility
50%
tokens
50%
Speech Recognition
50%
Twins
50%
Speech styles
50%
Computer Science
Speech Recognition
100%
Synthetic Speech
100%
Nursing and Health Professions
Logopedics
100%
Masking
18%