Speech Separation by Humans and Machines edited by Pierre Divenyi.

The "cocktail-party effect" - the ability to focus on one voice in a sea of noises - is a highly sophisticated skill that is usually effortless to listeners but largely impossible for machines. Investigating and unraveling this capacity spans numerous fields including psychology, physiolog...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Divenyi, Pierre (Editor)
Format: eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 2005.
Edition:1st ed. 2005.
Series:Springer eBook Collection.
Subjects:
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
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.