Continuous Speech Recognition by a Network of Hidden Markov Models

Nikola Pavešić


This paper gives an overview of the principles of a system for phoneme based, large vocabulary, continuous speech recognition. In particular, the issue of acoustic-phonetic modelling using Hidden Markov Models is addressed.

Some experiences of Laboratory for artificial perception at University of Ljubljana in attacking some of these problems is presented.


Continuous Speech Recognition, Hidden Markov Model, Viterbi Algorithm, Baum-Welch Algorithm, Acoustic-Phonetic Modelling, Language Modelling, Perplexity, Viterbi-Decoding Technique, Beam Search

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This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.

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