Statistical methods for speech recognition
Statistical methods for speech recognition
The Influence of a Filter Shape in Telephone-Based Recognition Module Using PLP Parameterization
TSD '01 Proceedings of the 4th International Conference on Text, Speech and Dialogue
Automatic switchboard operator
TSD'11 Proceedings of the 14th international conference on Text, speech and dialogue
Web text data mining for building large scale language modelling corpus
TSD'11 Proceedings of the 14th international conference on Text, speech and dialogue
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This paper concerns a speaker independent recognition engine of Czech continuous speech designed for Czech telephone applications and describes the recognition module as an important component of a telephone dialogue system being designed and constructed at the Department of Cybernetics, the University of West Bohemia. The recognition is based on a statistical approach. The left-to-right three-state HMMs with an output probability density function expressed as multivariate Gaussian mixture are used to model triphones as basic units in acoustic modelling and stochastic regular grammars are implemented to reduce a task perplexity. A real time recognition process is supported by a very computation cost reduction approach estimating log-likelihood scores of Gaussian mixtures and also by a beam pruning used during Viterbi decoding. The present paper concerns the main part of the engine - a speaker independent recognition engine for continuous Czech speech.