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HMM-based speech recognition/synthesis: state representation of monophones and triphones

In literature, a monophone is represented with 3 states. When doing context dependent clustering, 3 states are used to represent a triphone. Why is the triphone represented with 3 states and not 5? …
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1 vote
1 answer
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Effect of redundant training data in HMM-based speech recognizer/synthesizer?

Then the training (for a monophone) is done with: $$\lambda_{max}^\theta = \text{arg} \max_\lambda p(\bf{O}|\lambda) $$ where $\bf{O}$ is the observation sequence and $\lambda$ is the HMM model. …
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1 vote
1 answer
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Why are the observation features of an HMM-based recognition/synthesis system modeled by a G...

Why are the observation features (namely MFCCs) of an HMM-based recognition/synthesis system modeled by a Gaussian distribution? Even the state duration is modeled by a Gaussian in this paper: K. …
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