Search Results - "Mercer, Robert L."

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    A Maximum Likelihood Approach to Continuous Speech Recognition by Bahl, Lalit R., Jelinek, Frederick, Mercer, Robert L.

    “…Speech recognition is formulated as a problem of maximum likelihood decoding. This formulation requires statistical models of the speech production process. In…”
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    Design of a linguistic statistical decoder for the recognition of continuous speech by Jelinek, F., Bahl, L., Mercer, R.

    Published in IEEE transactions on information theory (01-05-1975)
    “…Most current attempts at automatic speech recognition are formulated in an artificial intelligence framework. In this paper we approach the problem from an…”
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    A tree-based statistical language model for natural language speech recognition by Bahl, L.R., Brown, P.F., de Souza, P.V., Mercer, R.L.

    “…The problem of predicting the next word a speaker will say, given the words already spoken; is discussed. Specifically, the problem is to estimate the…”
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    Detection and serogroup determination of neisseria meningitidis in CSF by polymerase chain reaction (PCR) by Porritt, Robert J., Mercer, Joanne L., Munro, Rosemary

    Published in Pathology (2000)
    “…A PCR protocol for the detection and serogroup determination of Neisseria meningitidis in CSF from 85 cases of suspected meningitis was evaluated. Screening…”
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    Estimating hidden Markov model parameters so as to maximize speech recognition accuracy by Bahl, L.R., Brown, P.F., de Souza, P.V., Mercer, R.L.

    “…The problem of estimating the parameter values of hidden Markov word models for speech recognition is addressed. It is argued that maximum-likelihood…”
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    A fast approximate acoustic match for large vocabulary speech recognition by Bahl, L.R., De Gennaro, S.V., Gopalakrishnan, P.S., Mercer, R.L.

    “…In a large vocabulary speech recognition system using hidden Markov models, calculating the likelihood of an acoustic signal segment for all the words in the…”
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