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» Using Prosodic Features in Language Models for Meetings
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ICASSP
2009
IEEE
15 years 6 months ago
Language model transformation applied to lightly supervised training of acoustic model for congress meetings
For effective training of acoustic and language models for spontaneous speech such as meetings, it is significant to exploit the texts available in a large scale, which may not b...
Tatsuya Kawahara, Masato Mimura, Yuka Akita
LREC
2008
146views Education» more  LREC 2008»
15 years 1 months ago
ProPOSEL: A Prosody and POS English Lexicon for Language Engineering
ProPOSEL is a prototype prosody and PoS (part-of-speech) English lexicon for Language Engineering, derived from the following language resources: the computer-usable dictionary CU...
Claire Brierley, Eric Atwell
ICPR
2006
IEEE
16 years 22 days ago
Multi-lingual Phoneme Recognition and Language Identification Using Phonotactic Information
Previous research indicates that automatic language identification systems based on phonotactic information produce the best results compared with other systems based on acoustic ...
Eliathamby Ambikairajah, Eric H. C. Choi, Liang Wa...
COGSCI
2010
82views more  COGSCI 2010»
14 years 11 months ago
Language Acquisition Meets Language Evolution
Recent research suggests that language evolution is a process of cultural change, in which linguistic structures are shaped through repeated cycles of learning and use by domain-g...
Nick Chater, Morten H. Christiansen
CDC
2008
IEEE
15 years 6 months ago
Shannon meets Bellman: Feature based Markovian models for detection and optimization
— The goal of this paper is to develop modeling techniques for complex systems for the purposes of control, estimation, and inference: (i) A new class of Hidden Markov Models is ...
Sean P. Meyn, George Mathew