Sciweavers

71 search results - page 8 / 15
» The RWTH Large Vocabulary Speech Recognition System for Spon...
Sort
View
ICPR
2008
IEEE
14 years 8 months ago
A phone-viseme dynamic Bayesian network for audio-visual automatic speech recognition
This work extends and improves a recently introduced (Dec. 2007) dynamic Bayesian network (DBN) based audio-visual automatic speech recognition (AVASR) system. That system models ...
Louis H. Terry, Aggelos K. Katsaggelos
NAACL
1994
13 years 8 months ago
Tree-Based State Tying for High Accuracy Modelling
The key problem to be faced when building a HMM-based continuous speech recogniser is maintaining the balance between model complexity and available training data. For large vocab...
S. J. Young, J. J. Odell, Philip C. Woodland
CSL
2002
Springer
13 years 7 months ago
Transformation streams and the HMM error model
The most popular model used in automatic speech recognition is the hidden Markov model (HMM). Though good performance has been obtained with such models there are well known limit...
M. J. F. Gales
GW
2005
Springer
119views Biometrics» more  GW 2005»
14 years 29 days ago
A Comparison Between Etymon- and Word-Based Chinese Sign Language Recognition Systems
Hitherto, one major challenge to sign language recognition is how to develop approaches that scale well with increasing vocabulary size. In large vocabulary speech recognition real...
Chunli Wang, Xilin Chen, Wen Gao
FTSIG
2007
136views more  FTSIG 2007»
13 years 7 months ago
The Application of Hidden Markov Models in Speech Recognition
Hidden Markov Models (HMMs) provide a simple and effective framework for modelling time-varying spectral vector sequences. As a consequence, almost all present day large vocabula...
Mark J. F. Gales, Steve Young