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Introduction to the special issue on speech and language processing of children's speech for child-machine interaction applications

Introduction to the special issue on speech and language processing of children's speech for... Introduction to the Special Issue on Speech and Language Processing of Children ™s Speech for Child-Machine Interaction Applications The rapid advancement of speech recognition and spoken dialogue technologies has enabled the use of voice in numerous interactive applications today. Although children represent an important user segment for speech processing technologies, the majority of the research effort so far has focused on adult users. This is due to a variety of reasons including lack of appropriate speech data from children across the developmental trajectory, challenges associated with conducting experiments with children, as well as fundamental misconceptions about children-computer interaction. From the very early experiments at AT&T Bell Labs, it was made clear that children ™s speech posed a challenge to speech recognizers designed for adult voices. The acoustic characteristics of children ™s speech vary widely with age, resulting in spectral and temporal patterns that differ from those of adults. In addition, variability in pronunciation is greater in children ™s speech, further hampering modeling speech and spoken language patterns. In the past two decades, the performance gap between automatic speech recognition of children and adult speech has been narrowed through the use of a variety of feature extraction, acoustic modeling, http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Speech and Language Processing (TSLP) Association for Computing Machinery

Introduction to the special issue on speech and language processing of children's speech for child-machine interaction applications

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2011 by ACM Inc.
ISSN
1550-4875
DOI
10.1145/1998384.1998385
Publisher site
See Article on Publisher Site

Abstract

Introduction to the Special Issue on Speech and Language Processing of Children ™s Speech for Child-Machine Interaction Applications The rapid advancement of speech recognition and spoken dialogue technologies has enabled the use of voice in numerous interactive applications today. Although children represent an important user segment for speech processing technologies, the majority of the research effort so far has focused on adult users. This is due to a variety of reasons including lack of appropriate speech data from children across the developmental trajectory, challenges associated with conducting experiments with children, as well as fundamental misconceptions about children-computer interaction. From the very early experiments at AT&T Bell Labs, it was made clear that children ™s speech posed a challenge to speech recognizers designed for adult voices. The acoustic characteristics of children ™s speech vary widely with age, resulting in spectral and temporal patterns that differ from those of adults. In addition, variability in pronunciation is greater in children ™s speech, further hampering modeling speech and spoken language patterns. In the past two decades, the performance gap between automatic speech recognition of children and adult speech has been narrowed through the use of a variety of feature extraction, acoustic modeling,

Journal

ACM Transactions on Speech and Language Processing (TSLP) – Association for Computing Machinery

Published: Aug 1, 2011

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