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» Progress in example based automatic speech recognition
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ICPR
2002
IEEE
14 years 12 days ago
Feature Extraction Methods Applied to the Clustering of Electrocardiographic Signals. A Comparative Study
In this paper, a method to automatically extract the main information from a long-term electrocardiographic signal is presented. This method is based on techniques of pattern reco...
David Cuesta-Frau, Juan Carlos Pérez-Cortes...
ICMI
2009
Springer
129views Biometrics» more  ICMI 2009»
14 years 2 days ago
Cache-based language model adaptation using visual attention for ASR in meeting scenarios
In a typical group meeting involving discussion and collaboration, people look at one another, at shared information resources such as presentation material, and also at nothing i...
Neil Cooke, Martin J. Russell
LREC
2008
137views Education» more  LREC 2008»
13 years 9 months ago
Elicited Imitation as an Oral Proficiency Measure with ASR Scoring
This paper discusses development and evaluation of a practical, valid and reliable instrument for evaluating the spoken language abilities of second-language (L2) learners of Engl...
C. Ray Graham, Deryle Lonsdale, Casey Kennington, ...
ICASSP
2011
IEEE
12 years 11 months ago
Training of error-corrective model for ASR without using audio data
This paper introduces a method to train an error-corrective model for Automatic Speech Recognition (ASR) without using audio data. In existing techniques, it is assumed that sufï¬...
Gakuto Kurata, Nobuyasu Itoh, Masafumi Nishimura
BMCBI
2008
153views more  BMCBI 2008»
13 years 7 months ago
How to make the most of NE dictionaries in statistical NER
Background: When term ambiguity and variability are very high, dictionary-based Named Entity Recognition (NER) is not an ideal solution even though large-scale terminological reso...
Yutaka Sasaki, Yoshimasa Tsuruoka, John McNaught, ...