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Conference papers

The automatic speech recognition engine ESPERE : experiments on telephone speech

Dominique Fohr 1 Odile Mella 1 Christophe Antoine
1 PAROLE - Analysis, perception and recognition of speech
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : This paper presents our automatic speech recognition engine ESPERE and several results obtained from experiments on telephone speech. ESPERE (Engine for SPEech REcognition) is a HMM-based toolbox for speech recognition allowing the user to choose the modeled unit (word, phone, triphone), define the topology of every Hidden Markov Model, train the models with the Baum-Welch algorithm and evaluate the recognition accuracy on speech databases. To validate the ESPERE toolbox, we have conducted tests on real world data: the recognition of a three-digit code to access a call center. We have investigated the influence of some parameters and some preprocessing algorithms. Finally, combining the best parameters, the recognition score reaches 96.4% at the word level and 92.1% at the sentence level.
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Submitted on : Tuesday, September 26, 2006 - 8:51:22 AM
Last modification on : Friday, February 26, 2021 - 3:28:06 PM


  • HAL Id : inria-00099154, version 1



Dominique Fohr, Odile Mella, Christophe Antoine. The automatic speech recognition engine ESPERE : experiments on telephone speech. ICSLP, 2000, Pékin, China, 4 p. ⟨inria-00099154⟩



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