The Future of Artificial Neural Networks and Speech Recognition

Speech is the ultimate man-machine interface and very comfortable for humans but extremely processor-intensive for computers. Speech recognition, speech analysis and synthesis, and speech understanding have seen rapid growth during the past decade and will be maturing in the next few decades. This c...

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Main Authors: LIANG, Qianhui (Althea), HARRIS, John G.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2002
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Online Access:https://ink.library.smu.edu.sg/sis_research/845
http://dx.doi.org/10.1201/9781420040814.Ch6c
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Institution: Singapore Management University
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spelling sg-smu-ink.sis_research-18442010-11-29T07:54:04Z The Future of Artificial Neural Networks and Speech Recognition LIANG, Qianhui (Althea) HARRIS, John G. Speech is the ultimate man-machine interface and very comfortable for humans but extremely processor-intensive for computers. Speech recognition, speech analysis and synthesis, and speech understanding have seen rapid growth during the past decade and will be maturing in the next few decades. This chapter will overview the state of the art in speech recognition and, in particular, the use of artifical neural networks (ANN) with speech recognition. 2002-08-01T07:00:00Z text https://ink.library.smu.edu.sg/sis_research/845 info:doi/10.1201/9781420040814.Ch6c http://dx.doi.org/10.1201/9781420040814.Ch6c Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Artificial Intelligence and Robotics
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Artificial Intelligence and Robotics
spellingShingle Artificial Intelligence and Robotics
LIANG, Qianhui (Althea)
HARRIS, John G.
The Future of Artificial Neural Networks and Speech Recognition
description Speech is the ultimate man-machine interface and very comfortable for humans but extremely processor-intensive for computers. Speech recognition, speech analysis and synthesis, and speech understanding have seen rapid growth during the past decade and will be maturing in the next few decades. This chapter will overview the state of the art in speech recognition and, in particular, the use of artifical neural networks (ANN) with speech recognition.
format text
author LIANG, Qianhui (Althea)
HARRIS, John G.
author_facet LIANG, Qianhui (Althea)
HARRIS, John G.
author_sort LIANG, Qianhui (Althea)
title The Future of Artificial Neural Networks and Speech Recognition
title_short The Future of Artificial Neural Networks and Speech Recognition
title_full The Future of Artificial Neural Networks and Speech Recognition
title_fullStr The Future of Artificial Neural Networks and Speech Recognition
title_full_unstemmed The Future of Artificial Neural Networks and Speech Recognition
title_sort future of artificial neural networks and speech recognition
publisher Institutional Knowledge at Singapore Management University
publishDate 2002
url https://ink.library.smu.edu.sg/sis_research/845
http://dx.doi.org/10.1201/9781420040814.Ch6c
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