19 search results - page 2 / 4 » Transformation streams and the HMM error model |
ICIP
2007
IEEE
13 years 7 months ago
2007
IEEE
The Asynchronous Hidden Markov Model (AHMM) models the joint likelihood of two observation sequences, even if the streams are not synchronised. We explain this concept and how the...
ICMCS
2005
IEEE
14 years 1 months ago
2005
IEEE
Multi-stream hidden Markov models (HMMs) have recently been very successful in audio-visual speech recognition, where the audio and visual streams are fused at the final decision...
INTERSPEECH
2010
13 years 2 months ago
2010
Current speech recognition systems are often based on HMMs with state-clustered Gaussian Mixture Models (GMMs) to represent the context dependent output distributions. Though high...
TASLP
2002
13 years 7 months ago
2002
In this paper, we propose a robust compensation strategy to deal effectively with extraneous acoustic variations for spontaneous speech recognition. This strategy extends speaker a...
PRL
2007
13 years 7 months ago
2007
ct 7 Discriminative training for hidden Markov models (HMMs) has been a central theme in speech recognition research for many years. 8 One most popular technique is minimum classi...