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Learning HMM State Sequences from Phonemes for ...
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由 G Biagetti 著作2016被引用 6 次 — This paper presents a technique for learning hidden Markov model (HMM) state sequences from phonemes, that combined with modified discrete cosine transform ...
Learning HMM State Sequences from Phonemes for ...
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由 G Biagetti 著作2016被引用 6 次 — This paper presents a technique for learning hidden Markov model (HMM) state sequences from phonemes, that combined with.
Learning HMM State Sequences from Phonemes for Speech ...
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This paper presents a technique for learning hidden Markov model (HMM) state sequences from phonemes, that combined with modified discrete cosine transform ...
Learning HMM State Sequences from Phonemes for Speech ...
ACM Digital Library
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This paper presents a technique for learning hidden Markov model (HMM) state sequences from phonemes, that combined with modified discrete cosine transform ...
Hidden markov models for phoneme recognition in ...
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2019年2月20日 — In short: For continuous speech recognition you connect your phoneme models into a large HMM using auxiliary silence models.
hmm-based text-to-audio-visual speech synthesis
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由 S Sako 著作被引用 71 次 — This paper describes a technique for text-to-audio-visual speech synthesis based on hidden Markov models (HMMs), in which lip image sequences are modeled ...
Speech Synthesis Based on Hidden Markov Models
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2024年11月8日 — HMMs represent not only the phoneme sequences but also various contexts of the linguistic specification in a similar way to the unit selection ...
18 頁
HMM training
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Can we not simply hand-label each observation in the training data with its correct state sequence according to changes in feature vectors? For example, in the ...
Visual Speech Synthesis Based On Parameter Generation ...
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由 M Tamura 著作被引用 51 次 — Audio-visual speech unit HMMs, namely, syllable HMMs are trained with parameter vector se- quences that represent both auditory and visual speech features.
6 頁
PHONEME RECOGNITION BY HIDDEN MARKOV ...
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由 AP Brighton 著作1989 — Given the hidden Markov model as defined above, there are three main problems which must be solved in order to make the model useful for speech recognition or ...