The automatic speech recognition engine ESPERE : experiments on telephone speech

@inproceedings{fohr:inria-00099154,
 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.},
 address = {P{\'e}kin, China},
 author = {Fohr, Dominique and Mella, Odile and Antoine, Christophe},
 booktitle = {{ICSLP}},
 hal_id = {inria-00099154},
 hal_local_reference = {A00-R-257 || fohr00a},
 hal_version = {v1},
 keywords = {speech recognition ; hmm ; telephone speech ; || reconnaissance de la parole ; parole t{\'e}l{\'e}phonique},
 note = {Colloque avec actes et comit{\'e} de lecture. internationale.},
 pages = {4 p},
 title = {{The automatic speech recognition engine ESPERE : experiments on telephone speech}},
 url = {https://hal.inria.fr/inria-00099154},
 year = {2000}
}