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Initial state recognition in HMM

The Baum-Welch algorithm uses the EM (Expectation Maximization) algorithm to estimate the model parameters $(T, E, \pi)$, where: $T$: the transition probabilities $E$: the emition probabilities $\...
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why the MFCC is gender indenpend and used for isolated word recognition

Not only do female and male speakers produce different MFCCs, but each speaker will produce quite different MFCCs for the same word, depending on pitch, vocal tract, accent, and many more factors. The ...
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HMM-based speech recognition/synthesis: state representation of monophones and triphones

My current understanding is that each of the phones in a triphone corresponds to each of the states. That's not correct. Each phone, regardless of the context dependency, has three states: "start",...
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Effect of redundant training data in HMM-based speech recognizer/synthesizer?

I guess you confuse GMM and HMM trainings. Although in both cases EM algorithm is employed, Baum-Welch is used for HMM training.
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Why are the observation features of an HMM-based recognition/synthesis system modeled by a Gaussian distribution?

For observations people usually use a mixture of gaussians, not a simple gaussian. They have few advantages - EM algorithm is fast to converge and GMM approximates wide variety of distributions pretty ...
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