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» 2LDA: Segmentation for Recognition
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INTERSPEECH
2010
13 years 5 months ago
HMM-based automatic visual speech segmentation using facial data
We describe automatic visual speech segmentation using facial data captured by a stereo-vision technique. The segmentation is performed using an HMM-based forced alignment mechani...
Utpala Musti, Asterios Toutios, Slim Ouni, Vincent...
ICASSP
2008
IEEE
14 years 5 months ago
Discriminative feature selection for hidden Markov models using Segmental Boosting
We address the feature selection problem for hidden Markov models (HMMs) in sequence classification. Temporal correlation in sequences often causes difficulty in applying featur...
Pei Yin, Irfan A. Essa, Thad Starner, James M. Reh...
IJCNN
2000
IEEE
14 years 2 months ago
Competing Hidden Markov Models on the Self-Organizing Map
This paper presents an unsupervised segmentation method for feature sequences based on competitivelearning hidden Markov models. Models associated with the nodes of the Self-Organ...
Panu Somervuo
ISCAS
1999
IEEE
112views Hardware» more  ISCAS 1999»
14 years 3 months ago
An acoustic-phonetic feature-based system for automatic phoneme recognition in continuous speech
An acoustic-phonetic feature- and knowledge-based system for the automatic segmentation, broad categorization and fine phoneme recognition of continuous speech is described. The s...
A. M. Abdelatty Ali, Jan Van der Spiegel, Paul Mue...
DIAL
2004
IEEE
149views Image Analysis» more  DIAL 2004»
14 years 2 months ago
Holistic Word Recognition for Handwritten Historical Documents
Most offline handwriting recognition approaches proceed by segmenting words into smaller pieces (usually characters) which are recognized separately. The recognition result of a w...
Victor Lavrenko, Toni M. Rath, R. Manmatha