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Speech Separation by Humans and Machines

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Description:

(ID 151991181)
Preface.- Speech Segregation: Problems and Perspectives.- Auditory Scene Analysis: Examining the Role of Nonlinguistic Auditory Processing in Speech Perception.- Speech Separation: Further Insights from Recordings of Event-Related Brain Potentials in Humans.- 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 Interference 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.
EAN/ISBN : 9780387227948
Publisher(s): Springer, Berlin, Springer US
Discussed keywords: Spracherkennung
Format: ePub/PDF

Author(s): Divenyi, Pierre

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