Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Laurent Mauuary"'
Autor:
Jacques Simonin, Chafic Mokbel, Denis Jouvet, Laurent Mauuary, Jean Monne, Lamia Karray, Katarina Bartkova
Publikováno v:
Speech Communication. 23:141-159
In real-life applications, errors in the speech recognition system are mainly due to inefficient detection of speech segments, unreliable rejection of Out-Of-Vocabulary (OOV) words, and insufficient account of noise and transmission channel effects.
Publikováno v:
ICASSP (1)
The paper addresses the problem of single microphone speech enhancement in noisy environments. Common short-time noise reduction techniques proposed in the art are expressed as a spectral gain depending on the a priori SNR. In the well-known decision
Autor:
Arnaud Martin, Laurent Mauuary
Publikováno v:
8th European Conference on Speech Communication and Technology (Eurospeech 2003).
Autor:
Katarina Bartkova, C. Sorin, Jacques Simonin, J. Monne, Laurent Mauuary, Denis Jouvet, Chafic Mokbel
Publikováno v:
Proceedings of IVTTA '96. Workshop on Interactive Voice Technology for Telecommunications Applications.
In real-life applications, the speech recognition system errors are mainly due to inadequate detection of speech segments, unreliable rejection of out-of-vocabulary (OOV) words, and noise and transmission channel effects. In this paper, we present th
Publikováno v:
7th International Conference on Spoken Language Processing (ICSLP 2002).
Autor:
Duncan Macho, Laurent Mauuary, Bernhard Noé, Yan Ming Cheng, Doug Ealey, Denis Jouvet, Holly Kelleher, David Pearce, Fabien Saadoun
Publikováno v:
7th International Conference on Spoken Language Processing (ICSLP 2002).
Publikováno v:
7th European Conference on Speech Communication and Technology (Eurospeech 2001).
Autor:
Laurent Mauuary, Lamia Karray
Publikováno v:
5th European Conference on Speech Communication and Technology (Eurospeech 1997).
Publikováno v:
Speech Recognition and Understanding ISBN: 9783642766282
This paper presents some automatic adjustments of the structure of Markov models with the objective of either reducing model complexity, or improving recognition performance. These modifications are tested on a 36 word vocabulary recorded by more tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::792adb5984e5c70eeb5fc8f074a771b7
https://doi.org/10.1007/978-3-642-76626-8_4
https://doi.org/10.1007/978-3-642-76626-8_4
Autor:
Santos de Almeida, Ayane Nazarela1 ayane@ufrb.edu.br, Oliveira Jr, Miguel2 miguel@fale.ufal.br
Publikováno v:
Linguistica (1132-0214). dic2021, Vol. 37 Issue 2, p9-29. 21p.