Speech Communication - Special issue on robust speech recognition
Psychoacoustically informed spectrography and timbre
Organised Sound
Monaural speech separation and recognition challenge
Computer Speech and Language
A computational auditory scene analysis system for speech segregation and robust speech recognition
Computer Speech and Language
Modulation spectral features for robust far-field speaker identification
IEEE Transactions on Audio, Speech, and Language Processing
Voice biometric feature using Gammatone filterbank and ICA
International Journal of Biometrics
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Although voice disorder is ordinarily first detected by listening, hearing is little used in voice measurement. Auditory critical band approaches to the quantitative analysis of dysphonia are compared with the results of applying cycle-by-cycle time based methods and the results from a listening test. The comparisons show that quite large rough/smooth differences, that are readily perceptible, are not as robustly measurable using either peripheral human hearing based GammaTone spectrograms, or a cepstral prominence algorithm, as they may be when using cycle-by-cycle based computations that are linked to temporal criteria. The implications of these tentative observations are discussed for the development of clinically relevant analyses of pathological voice signals with special reference to the analytic advantages of employing appropriate auditory criteria.