Results 221 to 230 of about 154,869 (269)
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5th European Conference on Speech Communication and Technology (Eurospeech 1997), 1997
Computer speech recognition has been very successful in limited domains and for isolated word recognition. However, widespread use of large-vocabulary continuous-speech recognizers is limited by the speed of current recognizers, which cannot reach acceptable error rates while running in real time.
Steven J. Phillips, Anne Rogers
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Computer speech recognition has been very successful in limited domains and for isolated word recognition. However, widespread use of large-vocabulary continuous-speech recognizers is limited by the speed of current recognizers, which cannot reach acceptable error rates while running in real time.
Steven J. Phillips, Anne Rogers
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A Microprocessor for Speech Recognition
IEEE Journal on Selected Areas in Communications, 1985A new single-chip microprocessor for speech recognition, the SRP, has been developed, utilizing a multiprocessor architecture and a pipelined structure. It can recognize up to 340 isolated words or 40 connected words in real time. The SRP contains a vector distance calculator, a DP-equation calculator, and an I/O controller operating in a pipelined ...
Yuichi Kawakami +5 more
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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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Recognition of speech spectrograms
The Journal of the Acoustical Society of America, 1984The performance of eight naive observers in learning to identify speech spectrograms was studied over a 2-month period. Single tokens from a 50-word phonetically balanced (PB) list were recorded by several talkers and displayed on a Spectraphonics Speech Spectrographic Display system.
B G, Greene, D B, Pisoni, T D, Carrell
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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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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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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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Proceedings of the International Conference & Workshop on Emerging Trends in Technology - ICWET '11, 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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ICASSP '82. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
The system we present here processes linguistic informations in two stages. In phase one we identify in a deterministic way pseudo-phonetic and prosodic events tending to characterize in flexible and concrete terms nonsignificant segmental and supra-segmental units (phonemes and prosodic boundaries).
Henri Meloni, Jacques Guizol
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The system we present here processes linguistic informations in two stages. In phase one we identify in a deterministic way pseudo-phonetic and prosodic events tending to characterize in flexible and concrete terms nonsignificant segmental and supra-segmental units (phonemes and prosodic boundaries).
Henri Meloni, Jacques Guizol
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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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