Title :
Discriminative training for improved neural prediction systems
Author :
Mellouk, A. ; Gallinari, P.
Author_Institution :
Lab. de Recherche en Inf., Univ. de Paris-Sud, Orsay, France
Abstract :
Presents improvements to neural predictive systems for acoustic-phonetic decoding. They allow to raise the performances of these systems close to the state of the art. Important increases have been obtained through carefully selected discriminant criteria
Keywords :
decoding; learning (artificial intelligence); neural nets; prediction theory; speech recognition; acoustic-phonetic decoding; discriminant criteria; discriminative training; neural prediction systems; performance; Context modeling; Decoding; Dynamic programming; Hidden Markov models; Neural networks; Predictive models; Samarium; Signal processing; Speech processing; Speech recognition;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-1775-0
DOI :
10.1109/ICASSP.1994.389312