Results 271 to 280 of about 46,840 (304)

Speech perception as pattern recognition

The Journal of the Acoustical Society of America, 1995
This work provides theoretical and empirical arguments in favor of an approach to phonetics that is called double-weak. It is so called because it assumes relatively weak constraints both on the articulatory gestures and on the auditory patterns that map phonological elements.
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Biomimetic Pattern Recognition for Speaker-Independent Speech Recognition

2005 International Conference on Neural Networks and Brain, 2006
In speaker-independent speech recognition, the disadvantage of the most diffused technology (hidden Markov models) is not only the need of many more training samples, but also long train time requirement. This paper describes the use of biomimetic pattern recognition (BPR) in recognizing some Mandarin speech in a speaker-independent manner.
null Hong Qin, null Shoujue Wang, null Hua Sun   +2 more
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Joint evaluation of multiple speech patterns for speech recognition and training

Computer Speech & Language, 2010
We are addressing the novel problem of jointly evaluating multiple speech patterns for automatic speech recognition and training. We propose solutions based on both the non-parametric dynamic time warping (DTW) algorithm, and the parametric hidden Markov model (HMM).
Nishanth Ulhas Nair, T. V. Sreenivas
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Pattern Recognition as a Problem in Decision Theory and an Application to Speech Recognition

IEEE Transactions on Military Electronics, 1963
After a general discussion of pattern recognition as a problem in statistical decision theory, an application of these concepts is made to the recognition of speech sounds by a method which uses the same principles for preprocessing of sound as does the human auditory system.
V. E. Sackschewsky, H. L. Oestreicher
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Dynamic speech recognition pattern switching for enhanced speech recognition accuracy

The Journal of the Acoustical Society of America, 2004
A speech recognition system and method that dynamically switches between reference patterns based on training information produced under different ambient noise levels to enhance speech recognition accuracy, is presented herein. In accordance with an embodiment of the invention, the speech recognition system includes a speech capturing device ...
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Pattern Recognition Techniques for Speech Recognition

1980
This is an overview of techniques which have been developed for automatic pattern recognition, with an indication of their relevance to automatic speech recognition. The first part is concerned with data transformations, distance measures, cluster analysis and other aspects of what could be called ‘classic’ mathematical pattern recognition.
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A Pattern Mining Approach for Improving Speech Emotion Recognition

International Journal of Pattern Recognition and Artificial Intelligence, 2022
Speech-driven user interfaces are becoming more common in our lives. To interact with such systems naturally and effectively, machines need to recognize the emotional states of users and respond to them accordingly. At the heart of the emotion recognition research done to this end lies the emotion representation that enables machines to learn and ...
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Automatic Recognition of Phonetic Patterns in Speech

The Journal of the Acoustical Society of America, 1958
The mechanical recognition of ten spoken words (the digits) with near-perfect precision has been demonstrated under laboratory conditions for a single talker after optimum circuit adjustment for his voice. Such word recognition points to the possibility of automatic voice writing and other voice-controlled operations.
Homer Dudley, S. Balashek
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Recognition of speech from temporal patterns

The Journal of the Acoustical Society of America, 1999
Spectrum of short segments of speech signal is accepted as one of the prime acoustic correlates of phonetic quality and it forms the basis of most current feature representations of speech. However, the short-term spectral vectors are affected by coarticulation. The coarticulation can span time intervals of several phonemes.
Sangita Sharma, Hynek Hermansky
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Syntactic Recognition of Speech Patterns

1977
Syntactic methods can be profitably used for automatically interpreting speech patterns because most of the phonetic knowledge of a language is available in terms of descriptions of spectral patterns or linguistic events.
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