Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Jean Monne"'
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:
Speech Communication. 19:185-196
This paper presents a new approach to equalize the telephone line effects in the transmitted signal aiming at improving the performance of speech recognition systems. This new approach implements a blind equalization scheme where an adaptive filter,
Publikováno v:
ICASSP
This paper describes a network-based speaker-independent connected-word recognition system based on Markov modelling and compares the results obtained using different basic-units (words, phonemes, diphones). The whole knowledge of the application, in
Autor:
X. Lamming, Alexandre Ferrieux, Denis Jouvet, Jean Monne, C. Raix, Lionel Delphin-Poulat, Katarina Bartkova
Publikováno v:
ICASSP (1)
This paper deals with the recognition of French city-names over the telephone. This recognition task, critical in many applications, involves a 40,000 city-name vocabulary, ranging from short monosyllabic words to long official compound-names. Data c
Autor:
C. Athimon, M. Toularhoat, C. Sorin, C. Gagnoulet, Denis Jouvet, Jean Monne, S. Py, D. Dubois, H. Marzio, D. Bigorne, B. Cherbonnel
Publikováno v:
Proceedings of 2nd IEEE Workshop on Interactive Voice Technology for Telecommunications Applications.
The paper presents a brief overview of current uses for CNET speech technology (speech recognition and text-to-speech systems) in interactive voice response services (IVR). Several services are described, and the latest evaluation of one ASR-based se
Publikováno v:
ICASSP
In this work, environment adaptation is studied in order to transform PSN speaker independent isolated words HMM to the GSM environment. Linear multiple regression (LMR) transformations associated with groups of HMM densities are used to adapt the de
Autor:
Lamia Karray, Jean Monne
Publikováno v:
5th International Conference on Spoken Language Processing (ICSLP 1998).
Publikováno v:
The Journal of the Acoustical Society of America. 107:1815
For equalizing a speech signal constituted by an observed sequence of successive input sound frames, which speech signal is liable to be affected by disturbances, the speech signal is modelled by means of a hidden Markov model and, at each instant t:
Conference
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Conference
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