Recent Advances in Robust Speech Recognition Technology

This book PDF is perfect for those who love Computers genre, written by Javier Ramírez and published by Bentham Science which was released on 10 February 2011 with total hardcover pages 223. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Recent Advances in Robust Speech Recognition Technology books below.

Recent Advances in Robust Speech Recognition Technology
Author : Javier Ramírez
File Size : 43,5 Mb
Publisher : Bentham Science
Language : English
Release Date : 10 February 2011
ISBN : 9781608051724
Pages : 223 pages
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Recent Advances in Robust Speech Recognition Technology by Javier Ramírez Book PDF Summary

"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 whe"

Recent Advances in Robust Speech Recognition Technology

"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 whe"

Get Book
Recent Advances in Robust Speech Recognition Technology

"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 whe"

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Robustness in Automatic Speech Recognition

Foreword Looking back the past 30 years. we have seen steady progress made in the area of speech science and technology. I still remember the excitement in the late seventies when Texas Instruments came up with a toy named "Speak-and-Spell" which was based on a VLSI chip containing the state-of-the-art linear

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New Era for Robust Speech Recognition

This book covers the state-of-the-art in deep neural-network-based methods for noise robustness in distant speech recognition applications. It provides insights and detailed descriptions of some of the new concepts and key technologies in the field, including novel architectures for speech enhancement, microphone arrays, robust features, acoustic model adaptation, training data

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Speech Recognition Over Digital Channels

Automatic speech recognition (ASR) is a very attractive means for human-machine interaction. The degree of maturity reached by speech recognition technologies during recent years allows the development of applications that use them. In particular, ASR shows an enormous potential in mobile environments, where devices such as mobile phones or PDAs

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Robust Automatic Speech Recognition

Robust Automatic Speech Recognition: A Bridge to Practical Applications establishes a solid foundation for automatic speech recognition that is robust against acoustic environmental distortion. It provides a thorough overview of classical and modern noise-and reverberation robust techniques that have been developed over the past thirty years, with an emphasis on

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Pattern Recognition Technologies and Applications  Recent Advances

The nature of handwriting in our society has significantly altered over the ages due to the introduction of new technologies such as computers and the World Wide Web. With increases in the amount of signature verification needs, state of the art internet and paper-based automated recognition methods are necessary. Pattern

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Robust Speech Recognition in Embedded Systems and PC Applications

Robust Speech Recognition in Embedded Systems and PC Applications provides a link between the technology and the application worlds. As speech recognition technology is now good enough for a number of applications and the core technology is well established around hidden Markov models many of the differences between systems found

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