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» Contextual Information Improves OOV Detection in Speech
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ICASSP
2011
IEEE
13 years 1 months ago
Extracting call-reason segments from contact center dialogs by using automatically acquired boundary expressions
To improve the performance of call-reason analysis at contact centers, we introduce a novel method to extract call-reason segments from dialogs. It is based on the following two c...
Takaaki Fukutomi, Satoshi Kobashikawa, Taichi Asam...
ICASSP
2007
IEEE
14 years 4 months ago
Unsupervised Audio Segmentation using Extended Baum-Welch Transformations
Audio segmentation has applications in a variety of contexts, such as audio information retrieval, automatic sound analysis, and as a pre-processing step in speech recognition. Ex...
Tara N. Sainath, Dimitri Kanevsky, Giridharan Iyen...
BIOADIT
2004
Springer
14 years 3 months ago
Explaining Low-Level Brightness-Contrast Illusions Using Disinhibition
Conventional Difference of Gaussian (DOG) filter is usually used to model the early stage of visual processing. However, convolution operation used with DOG does not explicitly a...
Yingwei Yu, Takashi Yamauchi, Yoonsuck Choe
MOBISYS
2009
ACM
14 years 10 months ago
A framework of energy efficient mobile sensing for automatic user state recognition
Urban sensing, participatory sensing, and user activity recognition can provide rich contextual information for mobile applications such as social networking and location-based se...
Yi Wang, Jialiu Lin, Murali Annavaram, Quinn Jacob...
ACL
1996
13 years 11 months ago
Combining Trigram-based and Feature-based Methods for Context-Sensitive Spelling Correction
This paper addresses the problem of correcting spelling errors that result in valid, though unintended words (such as peace and piece, or quiet and quite) and also the problem of ...
Andrew R. Golding, Yves Schabes