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» A hierarchical point process model for speech recognition
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ICASSP
2011
IEEE
12 years 11 months ago
Speech recognition modeling advances for mobile voice search
Enrico Bocchieri, Diamantino Caseiro, Dimitrios Di...
FLAIRS
2006
13 years 8 months ago
An Empirical Exploration of Hidden Markov Models: From Spelling Recognition to Speech Recognition
Hidden Markov models play a critical role in the modelling and problem solving of important AI tasks such as speech recognition and natural language processing. However, the stude...
Shieu-Hong Lin
NAACL
2003
13 years 8 months ago
Implicit Trajectory Modeling through Gaussian Transition Models for Speech Recognition
It is well known that frame independence assumption is a fundamental limitation of current HMM based speech recognition systems. By treating each speech frame independently, HMMs ...
Hua Yu, Tanja Schultz
LREC
2008
146views Education» more  LREC 2008»
13 years 9 months ago
On the Use of Web Resources and Natural Language Processing Techniques to Improve Automatic Speech Recognition Systems
Language models used in current automatic speech recognition systems are trained on general-purpose corpora and are therefore not relevant to transcribe spoken documents dealing w...
Gwénolé Lecorvé, Guillaume Gr...
LREC
2008
96views Education» more  LREC 2008»
13 years 9 months ago
Thai Broadcast News Corpus Construction and Evaluation
Large speech and text corpora are crucial to the development of a state-of-the-art speech recognition system. This paper reports on the construction and evaluation of the first Th...
Markpong Jongtaveesataporn, Chai Wutiwiwatchai, Ko...