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 speech recognition system embedding mlp

A Continuous Speech Recognition System Embedding MLP into HMM

Neural Information Processing Systems

We are developing a phoneme based. In [Bourlard & Wellekens]. it was shown that MLPs were approximating Maximum a Posteriori (MAP) probabilities and could thus be embedded as an emission probability estimator in HMMs. It is shown here that word recognition performance for a simple discrete density HMM system appears to be somewhat better when MLP methods are used to estimate the emission probabilities.

A Continuous Speech Recognition System Embedding MLP into HMM

Neural Information Processing Systems

We are developing a phoneme based.

A Continuous Speech Recognition System Embedding MLP into HMM

Neural Information Processing Systems

We are developing a phoneme based.