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Speech recognition is the process of converting the spoken word to text, usually without regard to a particular speaker (which is more commonly referred to as "voice recognition").
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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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Effect of redundant training data in HMM-based speech recognizer/synthesizer?
How are redundant training data handled during the training stage?
For example, assume we have one observation for phone $\theta$ in the training set.
Then the training (for a monophone) is done wit …
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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. To …