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Recent Advances in Robust Speech Recognition Technology Cover

Recent Advances in Robust Speech Recognition Technology

Publisher:Bentham Science
By:  and    
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|Feb 2025
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Description
This E-book is a collection of articles that describe advances in speech recognition technology. Robustness in speech recognition refers to the need to maintain high speech recognition accuracy even when the quality of the input speech is degraded or when the acoustical articulate or phonetic characteristics of speech in the training and testing environments differ. Obstacles to robust recognition include acoustical degradations produced by additive noise the effects of linear filtering nonlinearities in transduction or transmission as well as impulsive interfering sources and diminished accuracy caused by changes in articulation produced by the presence of high-intensity noise sources. Although progress over the past decade has been impressive there are significant obstacles to overcome before speech recognition systems can reach their full potential. Automatic speech recognition (ASR) systems must be robust to all levels so that they can handle background or channel noise the occurrence on unfamiliar words new accents new users or unanticipated inputs. They must exhibit more ' intelligence' and integrate speech with other modalities deriving the user' s intent by combining speech with facial expressions eye movements gestures and other input features and communicating back to the user through multimedia responses. Therefore as speech recognition technology is transferred from the laboratory to the marketplace robustness in recognition becomes increasingly significant. This E-book should be useful to computer engineers interested in recent developments in speech recognition technology.
PDF ISBN: 978-1-60805-172-4
Publisher: Bentham Science
Copyright owner: © 2011 Bentham Science Publishers
Publication date: 2025
Language: English
Pages: 223
Related subjects:
Computer sciences,
Computer sciences, other
BISAC subjects:
COM073000
Thema subjects:
UYQS,
UYU

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