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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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2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008
We propose a model for speech recognition that consists of multiple semi-synchronized recognizers operating on a polyphase decomposition of standard speech features. Specifically, we consider multiple out-of-phase downsampled speech features as separate streams which are modeled separately at the lowest level, and are then integrated at the higher ...
Hui Lin 0001, Jeff A. Bilmes
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We propose a model for speech recognition that consists of multiple semi-synchronized recognizers operating on a polyphase decomposition of standard speech features. Specifically, we consider multiple out-of-phase downsampled speech features as separate streams which are modeled separately at the lowest level, and are then integrated at the higher ...
Hui Lin 0001, Jeff A. Bilmes
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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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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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A microprocessor for speech recognition
ICASSP '83. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005A new single-chip microprocessor for speech recognition has been developed utilizing multi-processor architecture and pipelined structure. By DP-matching algorithm, the processor recognizes up to 340 isolated words or 40 connected words in realtime.
Hisao Ishizuka +6 more
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Speech and Handwriting Recognition
2015What the reader should know to understand this chapter \(\bullet \) Hidden Markov models (Chap. 10). \(\bullet \) Language models (Chap. 10). \(\bullet \) Bayes decision theory (Chap. 3).
CAMASTRA, Francesco +1 more
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ACM SIGART Bulletin, 1977
This group works towards automatic transcription of continuous speech with a vocabulary and syntax as unrestricted as possible. It is a long-term effort; however, an experimental system is operational. The acoustic processor contains a spectrum analyzer based on the Fast Fourier Transform and a phone segmenter/recognizer which makes use of transitional
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This group works towards automatic transcription of continuous speech with a vocabulary and syntax as unrestricted as possible. It is a long-term effort; however, an experimental system is operational. The acoustic processor contains a spectrum analyzer based on the Fast Fourier Transform and a phone segmenter/recognizer which makes use of transitional
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Speech Recognition and Correction of a Stuttered Speech
2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2018The aim of this paper is to develop an algorithm to enhance speech recognition of a stuttered speech. Stuttering is a disorder that affects the fluency of speech by involuntary repetition, prolongation of words/syllables, or involuntary silent intervals. Current speech recognition systems fail to recognize stuttered speech.
Ankit Dash +4 more
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Speech segmentation without speech recognition
2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., 2003In this paper, we presented a semantic speech segmentation approach, in particular sentence segmentation, without speech recognition. In order to get phoneme level information without word recognition information, a novel vowel/consonant/pause (V/C/P) classification is proposed.
Dong Wang, Lie Lu, Hong-Jiang Zhang
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"Unvoiced speech recognition using EMG - mime speech recognition"
CHI '03 extended abstracts on Human factors in computing systems - CHI '03, 2003We propose unvoiced speech recognition, "Mime Speech Recognition". It recognizes speech by observing the muscles associated with speech. It is not based on voice signals but electromyography (EMG). It will realize unvoiced communication, which is a new communication style.
Hiroyuki Manabe +2 more
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