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» Factor analysed hidden Markov models for speech recognition
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ICPR
2002
IEEE
15 years 10 months ago
Recognition of Gestures in the Context of Speech
The scope of this paper is the interpretation of a user's intention via a video camera and a speech recognizer. In comparison to previous work which only takes into account g...
Matthieu Bray, Hedvig Sidenbladh, Jan-Olof Eklundh
90
Voted
ICASSP
2008
IEEE
15 years 4 months ago
Statistical approach to vocal tract transfer function estimation based on factor analyzed trajectory HMM
In this paper, we describe a novel statistical approach to the vocal tract transfer function (VTTF) estimation of a speech signal based on a factor analyzed trajectory hidden Mark...
Tomoki Toda, Keiichi Tokuda
NAACL
1994
14 years 11 months ago
Statistical Language Processing Using Hidden Understanding Models
This paper introduces a class of statistical mechanisms, called hidden understanding models, for natural language processing. Much of the framework for hidden understanding models...
Scott Miller, Richard M. Schwartz, Robert J. Bobro...
INFORMATICALT
2007
106views more  INFORMATICALT 2007»
14 years 9 months ago
Framework for Choosing a Set of Syllables and Phonemes for Lithuanian Speech Recognition
This paper describes a framework for making up a set of syllables and phonemes that subsequently is used in the creation of acoustic models for continuous speech recognition of Lit...
Sigita Laurinciukaite, Antanas Lipeika
KDD
2008
ACM
115views Data Mining» more  KDD 2008»
15 years 10 months ago
SPIRAL: efficient and exact model identification for hidden Markov models
Hidden Markov models (HMMs) have received considerable attention in various communities (e.g, speech recognition, neurology and bioinformatic) since many applications that use HMM...
Yasuhiro Fujiwara, Yasushi Sakurai, Masashi Yamamu...