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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, physiology, engineering, and computer science. All these perspectives are brought together in this volume which, for the first time, provides a comprehensive and authoritative discussion of our understanding of how humans separate speech, and the state of the art in approaching these abilities with machines. This material is drawn from an October 2003 workshop, sponsored by the National Science Foundation, on speech separation. Leading authorities from around the world were invited to present their perspectives and discuss the points of contact to other perspectives. The result is a clear and uniform overview of this problem, and a primer in what is emerging as an important, active and successful area for the development of new techniques and applications. Chapters include historical and current summaries of relevant research in behavioral science, neuroscience and engineering, along with more in-depth descriptions of several of the most exciting current research projects and techniques, including the latest experimental results illuminating how listeners organize the mixtures of sound they hear, and the most powerful and successful signal processing and machine learning techniques for the separation of real-world recordings of sound mixtures by one or more microphones. There is no comparable collection that seeks to bring together the underlying experimental science and the wide variety of technical approaches to give an integrated picture of the problem and solutions to speech separation. 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 will find Speech Separation by Humans and Machines a useful and inspiring read.
Automatic speech recognition. --- Speech perception. --- Speech recognition --- Auditory perception --- Psycholinguistics --- Speech --- Mechanical speech recognizer --- Speech recognition, Automatic --- Pattern recognition systems --- Perceptrons --- Speech, Intelligibility of --- Speech perception --- Speech processing systems --- Computer science. --- Engineering. --- Signal, Image and Speech Processing. --- User Interfaces and Human Computer Interaction. --- Engineering, general. --- Construction --- Industrial arts --- Technology --- Informatics --- Science --- Signal processing. --- Image processing. --- Speech processing systems. --- User interfaces (Computer systems). --- Interfaces, User (Computer systems) --- Human-machine systems --- Human-computer interaction --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication)
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Quality of Telephone-Based Spoken Dialogue Systems is a systematic overview of assessment, evaluation, and prediction methods for the quality of services such as travel and touristic information, phone-directory and messaging, or telephone-banking services. A new taxonomy of quality-of-service is presented which serves as a tool for classifying assessment and evaluation methods, for planning and interpreting evaluation experiments, and for estimating quality. A broad overview of parameters and evaluation methods is given, both on a system-component level and for a fully integrated system. Three experimental investigations illustrate the relationships between system characteristics and perceived quality. The resulting information is needed in all phases of system specification, design, implementation, and operation. Although Quality of Telephone-Based Spoken Dialogue Systems is written from the perspective of an engineer in telecommunications, it is an invaluable source of information for professionals in signal processing, communication acoustics, computational linguistics, speech and language sciences, human factor design and ergonomics.
Automatic speech recognition. --- Telephone systems --- Quality control. --- Telephony --- Telecommunication systems --- Mechanical speech recognizer --- Speech recognition, Automatic --- Pattern recognition systems --- Perceptrons --- Speech, Intelligibility of --- Speech perception --- Speech processing systems --- Computer engineering. --- Telecommunication. --- Computer science. --- Electrical Engineering. --- Signal, Image and Speech Processing. --- Communications Engineering, Networks. --- User Interfaces and Human Computer Interaction. --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Telecommunications --- Communication --- Information theory --- Telecommuting --- Computers --- Informatics --- Science --- Design and construction --- Electrical engineering. --- Signal processing. --- Image processing. --- Speech processing systems. --- User interfaces (Computer systems). --- Interfaces, User (Computer systems) --- Human-machine systems --- Human-computer interaction --- Computational linguistics --- Electronic systems --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Electric engineering --- Engineering
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