DocumentCode
542312
Title
Training of across-word phoneme models for large vocabulary continuous speech recognition
Author
Sixtus, Achim ; Ney, Hermann
Author_Institution
Lehrstuhl für Informatik VI, RWTH Aachen, University of Technology, 52056, Germany
Volume
1
fYear
2002
fDate
13-17 May 2002
Abstract
Today´s speech recognition systems use across-word context dependent phoneme models to capture coarticulation across word boundaries. While there are several publications about the organization of across-word model search, there are hardly any descriptions about the training of across-word models.
Keywords
Automata; Computational modeling; Context; Hidden Markov models; Speech recognition; Training; Variable speed drives;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on
Conference_Location
Orlando, FL, USA
ISSN
1520-6149
Print_ISBN
0-7803-7402-9
Type
conf
DOI
10.1109/ICASSP.2002.5743872
Filename
5743872
Link To Document