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Explicit pattern recognition models for speech perception
The Journal of the Acoustical Society of America, 2003Optimal statistical classification of arbitrary input signals can be obtained, in principle, via a Bayesian classifier, given (perfect) knowledge of the distributions of signal properties for the set of target categories. At least for certain constrained problems, such as the perception of isolated vowels, simple (imperfect) statistical pattern ...
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Speech recognition using syllable patterns
7th International Conference on Spoken Language Processing (ICSLP 2002), 2002Li Zhang, William H. Edmondson
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Speech and Voice Perception: Beyond Pattern Recognition
1999From the viewpoint of psychology, perception is the function by which an organism gains knowledge of its environment. Equivalently, perception is the function by which sensory information is transformed into meaningful elements. In other words perception makes use of two different logics : the logic of the physical world, from which the organism ...
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Pattern Recognition in Speech and Language Processing
2003Minimum Classification Error (MSE) Approach in Pattern Recognition, Wu Chou Minimum Bayes-Risk Methods in Automatic Speech Recognition, Vaibhava Goel and William Byrne A Decision Theoretic Formulation for Adaptive and Robust Automatic Speech Recognition, Qiang Huo Speech Pattern Recognition Using Neural Networks, Shigeru Katagiri Large Vocabulary ...
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Pattern recognition of non-speech audio
Pattern Recognition Letters, 2010Jean-Julien Aucouturier, Laurent Daudet
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Sign-to-speech translation using machine-learning-assisted stretchable sensor arrays
Nature Electronics, 2020Kyle Chen, Xiaoshi Li, Songlin Zhang
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A speech planning network for interactive language use
Nature, 2022Gregg A Castellucci +2 more
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Semantic Communication Systems for Speech Transmission
IEEE Journal on Selected Areas in Communications, 2021Zhenzi Weng, Zhijing Qin
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