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» The limits of speech recognition
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NIPS
2004
13 years 11 months ago
Using Random Forests in the Structured Language Model
In this paper, we explore the use of Random Forests (RFs) in the structured language model (SLM), which uses rich syntactic information in predicting the next word based on words ...
Peng Xu, Frederick Jelinek
ACL
1998
13 years 11 months ago
Characterizing and Recognizing Spoken Corrections in Human-Computer Dialogue
Miscommunication in speech recognition systems is unavoidable, but a detailed characterization of user corrections will enable speech systems to identify when a correction is taki...
Gina-Anne Levow
ICASSP
2010
IEEE
13 years 10 months ago
Analysis of phone posterior feature space exploiting class-specific sparsity and MLP-based similarity measure
Class posterior distributions have recently been used quite successfully in Automatic Speech Recognition (ASR), either for frame or phone level classification or as acoustic featu...
Afsaneh Asaei, Benjamin Picart, Hervé Bourl...
TASLP
2008
207views more  TASLP 2008»
13 years 10 months ago
Joint Morphological-Lexical Language Modeling for Processing Morphologically Rich Languages With Application to Dialectal Arabic
Language modeling for an inflected language such as Arabic poses new challenges for speech recognition and machine translation due to its rich morphology. Rich morphology results i...
Ruhi Sarikaya, Mohamed Afify, Yonggang Deng, Hakan...
TITS
2011
165views more  TITS 2011»
13 years 5 months ago
Analysis of Real-World Driver's Frustration
—This study investigates a method for estimating a driver’s spontaneous frustration in the real world. In line with a specific definition of emotion, the proposed method inte...
Lucas Malta, Chiyomi Miyajima, Norihide Kitaoka, K...