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» Using Prosodic Features in Language Models for Meetings
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110
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COLING
2008
15 years 5 months ago
Toward a Psycholinguistically-Motivated Model of Language Processing
Psycholinguistic studies suggest a model of human language processing that 1) performs incremental interpretation of spoken utterances or written text, 2) preserves ambiguity by m...
William Schuler, Samir AbdelRahman, Tim Miller, La...
132
Voted
ANLP
1994
113views more  ANLP 1994»
15 years 4 months ago
Real-Time Spoken Language Translation Using Associative Processors
This paper proposes a model using associative processors (APs) for real-time spoken language translation. Spoken language translation requires (1) an accurate translation and (2) ...
Kozo Oi, Eiichiro Sumita, Osamu Furuse, Hitoshi Ii...
115
Voted
ACII
2007
Springer
15 years 9 months ago
Frame vs. Turn-Level: Emotion Recognition from Speech Considering Static and Dynamic Processing
Abstract. Opposing the pre-dominant turn-wise statistics of acoustic LowLevel-Descriptors followed by static classification we re-investigate dynamic modeling directly on the frame...
Bogdan Vlasenko, Björn Schuller, Andreas Wend...
252
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Deep Belief Networks using discriminative features for phone recognition
Deep Belief Networks (DBNs) are multi-layer generative models. They can be trained to model windows of coefficients extracted from speech and they discover multiple layers of fea...
Abdel-rahman Mohamed, Tara N. Sainath, George Dahl...
106
Voted
NAACL
2003
15 years 4 months ago
Language and Task Independent Text Categorization with Simple Language Models
We present a simple method for language independent and task independent text categorization learning, based on character-level n-gram language models. Our approach uses simple in...
Fuchun Peng, Dale Schuurmans, Shaojun Wang