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AND
2010
13 years 2 months ago
Reshaping automatic speech transcripts for robust high-level spoken document analysis
High-level spoken document analysis is required in many applications seeking access to the semantic content of audio data, such as information retrieval, machine translation or au...
Julien Fayolle, Fabienne Moreau, Christian Raymond...
ACIVS
2009
Springer
13 years 11 months ago
Two-Level Bimodal Association for Audio-Visual Speech Recognition
This paper proposes a new method for bimodal information fusion in audio-visual speech recognition, where cross-modal association is considered in two levels. First, the acoustic a...
Jong-Seok Lee, Touradj Ebrahimi
AMFG
2005
IEEE
183views Biometrics» more  AMFG 2005»
13 years 6 months ago
Robust Automatic Human Identification Using Face, Mouth, and Acoustic Information
Discriminatory information about person identity is multimodal. Yet, most person recognition systems are unimodal, e.g. the use of facial appearance. With a view to exploiting the ...
Niall A. Fox, Ralph Gross, Jeffrey F. Cohn, Richar...
ICASSP
2011
IEEE
12 years 8 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 suf...
Gakuto Kurata, Nobuyasu Itoh, Masafumi Nishimura
MMM
2006
Springer
107views Multimedia» more  MMM 2006»
13 years 11 months ago
History-based visual mining of semi-structured audio and text
Accessing specific or salient parts of multimedia recordings remains a challenge as there is no obvious way of structuring and representing a mix of space-based and timebased med...
Matt-Mouley Bouamrane, Saturnino Luz, Masood Masoo...