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Speech recognition device and speech recognition method
The Journal of the Acoustical Society of America, 2009Each word to be recognized is represented by hidden Markov models for male and female and an output probability function and a transition probability preset in hidden Markov models for male and female are prestored in a ROM (6). With reference to feature parameters detected by a feature detecting section (3) and the hidden Markov models, a speech ...
Toshiyuki Miyazaki, Yoji Ishikawa
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Speech recognition for the disabled
IEEE Engineering in Medicine and Biology Magazine, 1991A simple and inexpensive system for telephone communication that includes a modular speech recognition device developed for use by a disabled person is presented. User considerations are reviewed, and hardware details are given. The complete automatic speech recognition (ASR) system consists of five main blocks: a TCM29C18 codec (analog interface for ...
K V, Grattan, A W, Palmer, C A, Shurrock
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Speech recognition based on speech units
European Conference on Speech Technology, 1987In a classical quantization system, each vector is represented by the nearest centroid; two vectors belonging to the same class are then indistinguishable. In order to mitigate this situation, we take into account the two nearest neighbours and define a “belonging degree” calculated from the distances between the vector and the two centroids.
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IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339), 2003
Speech recognition is a major topic in speech signal processing. Many algorithms based on results of speech analysis, among which dynamic time warping) and hidden Markov models are the most important, have been advanced. However, these algorithms generally turn out to be too complicated to be implemented in real time systems.
Tong Zhao, Peng-Yung Woo
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Speech recognition is a major topic in speech signal processing. Many algorithms based on results of speech analysis, among which dynamic time warping) and hidden Markov models are the most important, have been advanced. However, these algorithms generally turn out to be too complicated to be implemented in real time systems.
Tong Zhao, Peng-Yung Woo
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IEEE Pervasive Computing, 2004
As mobile computing devices grow smaller and as in-car computing platforms become more common, we must augment traditional methods of human-computer interaction. Although speech interfaces have existed for years, the constrained system resources of pervasive devices, such as limited memory and processing capabilities, present new challenges. We provide
Neal J. Alewine +2 more
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As mobile computing devices grow smaller and as in-car computing platforms become more common, we must augment traditional methods of human-computer interaction. Although speech interfaces have existed for years, the constrained system resources of pervasive devices, such as limited memory and processing capabilities, present new challenges. We provide
Neal J. Alewine +2 more
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Proceedings of the International Conference & Workshop on Emerging Trends in Technology, 2011
One of the most natural forms of communication tool used by human-being is their voice or speech. Hence it is natural that a lot of research has been devoted to analyzing and understanding human speech for various applications. This paper describes hardware based speech recognition system.
S. S. Ketkar, M. Mukherjee
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One of the most natural forms of communication tool used by human-being is their voice or speech. Hence it is natural that a lot of research has been devoted to analyzing and understanding human speech for various applications. This paper describes hardware based speech recognition system.
S. S. Ketkar, M. Mukherjee
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Dental Update, 2001
This article discusses the use of speech recognition software by means of reviewing two leading packages. Both programs require considerable training before they can be used effectively, but are then able to convert continuous speech into text with varying degrees of success.
S, Weerakone, P J, Turner
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This article discusses the use of speech recognition software by means of reviewing two leading packages. Both programs require considerable training before they can be used effectively, but are then able to convert continuous speech into text with varying degrees of success.
S, Weerakone, P J, Turner
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A perspective on speech recognition
IEEE Communications Magazine, 1990The authors outline the science behind speech recognition technology and describe briefly the contributions of engineering, computer science, and mathematics to it. They discuss the state-of-the-art in both technique and performance, including some examples of successful applications.
Stephen E. Levinson, David B. Roe
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Speech recognition method and speech recognition device
The Journal of the Acoustical Society of America, 2002In order to realize a speech recognition method and speech recognition device that reduce erroneous recognition for words that are not to be recognized and ambient sounds, and improve the recognition capability, characteristic parameters of words to be recognized and characteristic parameters of words that are not to be recognized and ambient sounds ...
Hiroshi Shinotsuka, Noritoshi Hino
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