This book is appropriate for those specializing in speech science, hearing science, neuroscience, or computer science and engineers working on applications such as automatic speech recognition, cochlear implants, hands-free telephones, sound recording, multimedia indexing and retrieval.
|Edition description:||Softcover reprint of hardcover 1st ed. 2004|
|Product dimensions:||6.10(w) x 9.25(h) x 0.24(d)|
Table of Contents
Speech Segregation: Problems and Perspectives.- Auditory Scene Analysis.- Speech separation.- Recurrent Timing Nets for F0-based Speaker Separation.- Blind Source Separation Using Graphical Models.- Speech Recognizer Based Maximum Likelihood Beamforming.- Exploiting Redundancy to Construct Listening Systems.- Automatic Speech Processing by Inference in Generative Models.- Signal Separation Motivated by Human Auditory Perception: Applications to Automatic Speech Recognition.- Speech Segregation Using an Event-synchronous Auditory Image and STRAIGHT.- Underlying Principles of a High-quality Speech Manipulation System STRAIGHT and Its Application to Speech Segregation.- On Ideal Binary Mask As the Computational Goal of Auditory Scene Analysis.- The History and Future of CASA.- Techniques for Robust Speech Recognition in Noisy and Reverberant Conditions.- Source Separation, Localization, and Comprehension in Humans, Machines, and Human-machine Systems.- The Cancellation Principle in Acoustic Scene Analysis.- Informational and Energetic Masking Effects in Multitalker Speech Perception.- Masking the Feature Information In Multi-stream Speech-analogue Displays.- Interplay Between Visual and Audio Scene Analysis.- Evaluating Speech Separation Systems.- Making Sense of Everyday Speech: a Glimpsing Account.