187 search results - page 1 / 38 » A Markov Random Field Model for Automatic Speech Recognition |
ICPR
2000
IEEE
14 years 6 months ago
2000
IEEE
Speech can be represented as a time/frequency distribution of energy using a multi-band filter bank. A Markov random field model, which takes into account the possible time asynch...
ICPR
2006
IEEE
14 years 6 months ago
2006
IEEE
Coarticulation is one of the important factors that makes automatic sign language recognition a hard problem. Unlike in speech recognition, coarticulation effects in sign language...
ICASSP
2010
IEEE
12 years 11 months ago
2010
IEEE
This paper presents a Named Entity Recognition (NER) method dedicated to process speech transcriptions. The main principle behind this method is to collect in an unsupervised way ...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Hidden Conditional Random Fields(HCRF) is a very promising approach to model speech. However, because HCRF computes the score of a hypothesis by summing up linearly weighted featu...
NAACL
2010
13 years 2 months ago
2010
We suggest improvements to a previously proposed framework for integrating Conditional Random Fields and Hidden Markov Models, dubbed a Crandem system (2009). The previous authors...