Sciweavers

145 search results - page 5 / 29
» Factor analysed hidden Markov models for speech recognition
Sort
View
95
Voted
TASLP
2002
84views more  TASLP 2002»
15 years 1 months ago
Maximum likelihood multiple subspace projections for hidden Markov models
The first stage in many pattern recognition tasks is to generate a good set of features from the observed data. Usually, only a single feature space is used. However, in some compl...
Mark J. F. Gales
117
Voted
ICMI
2003
Springer
166views Biometrics» more  ICMI 2003»
15 years 7 months ago
Georgia tech gesture toolkit: supporting experiments in gesture recognition
Gesture recognition is becoming a more common interaction tool in the fields of ubiquitous and wearable computing. Designing a system to perform gesture recognition, however, can...
Tracy L. Westeyn, Helene Brashear, Amin Atrash, Th...
ICASSP
2010
IEEE
15 years 2 months ago
Variational nonparametric Bayesian Hidden Markov Model
The Hidden Markov Model (HMM) has been widely used in many applications such as speech recognition. A common challenge for applying the classical HMM is to determine the structure...
Nan Ding, Zhijian Ou
90
Voted
INFORMATICALT
2008
137views more  INFORMATICALT 2008»
15 years 1 months ago
Acoustic Modelling for Croatian Speech Recognition and Synthesis
This paper presents the Croatian context-dependent acoustic modelling used in speech recognition and in speech synthesis. The proposed acoustic model is based on context-dependent ...
Sanda Martincic-Ipsic, Slobodan Ribaric, Ivo Ipsic
ICML
2009
IEEE
16 years 2 months ago
Large margin training for hidden Markov models with partially observed states
Large margin learning of Continuous Density HMMs with a partially labeled dataset has been extensively studied in the speech and handwriting recognition fields. Yet due to the non...
Thierry Artières, Trinh Minh Tri Do