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Allen J.B., Chan W.-Y.G., Voran S. (eds.) Perceptual Models for Speech, Audio, and Music Processing

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Allen J.B., Chan W.-Y.G., Voran S. (eds.) Perceptual Models for Speech, Audio, and Music Processing
EURASIP Journal on Audio, Speech, and Music Processing, 2007. — 100 p. —ISBN-10: 9774540077; ISBN-13: 978-9774540073.
New understandings of human auditory perception have recently contributed to advances in numerous areas related to audio, speech, and music processing. These include coding, speech and speaker recognition, synthesis, signal separation, signal enhancement, automatic content identification and retrieval, and quality estimation. Researchers continue to seek more detailed, accurate, and robust characterizations of human auditory perception, from the periphery to the auditory cortex, and in some cases whole brain inventories.
This special issue on Perceptual Models for Speech, Audio, and Music Processing contains seven papers that exemplify the breadth and depth of current work in perceptual modeling and its applications.
Perceptual Models for Speech, Audio, andMusic Processing
Practical Gammatone-Like Filters for Auditory Processing
An FFT-Based Companding Front End for Noise-Robust Automatic Speech Recognition
Wideband Speech Recovery Using Psychoacoustic Criteriaias
Denoising in the Domain of Spectrotemporal Modulations
Perceptual Continuity and Naturalness of Expressive Strength in Singing Voices Based on Speech Morphing
Electrophysiological Study of Algorithmically Processed Metric/Rhythmic Variations in Language and Music
The Effect of Listener Accent Background on Accent Perception and Comprehension
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