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2015 | OriginalPaper | Chapter

Noisy Speech Recognition Based on Combined Audio-Visual Classifiers

Authors : Lucas D. Terissi, Gonzalo D. Sad, Juan C. Gómez, Marianela Parodi

Published in: Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction

Publisher: Springer International Publishing

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Abstract

An isolated word speech recognition system based on audio-visual features is proposed in this paper. To enhance the recognition over different noisy conditions, this system combines three classifiers based on audio, visual and audio-visual information, respectively. The performance of the proposed recognition system is evaluated over two isolated word audio-visual databases, a public one and a database compiled by the authors of this paper. Experimental results show that the structure of the proposed system leads to significant improvements of the recognition rates through a wide range of signal-to-noise ratios.

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Metadata
Title
Noisy Speech Recognition Based on Combined Audio-Visual Classifiers
Authors
Lucas D. Terissi
Gonzalo D. Sad
Juan C. Gómez
Marianela Parodi
Copyright Year
2015
DOI
https://doi.org/10.1007/978-3-319-14899-1_5

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