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Enhancing Robustness in Speech Recognition using Visual Information
Abstract
The area of speech recognition has been thoroughly researched during the past fifty years; however, robustness is still an important challenge to overcome. It has been established that there exists a correlation between speech produced and lip motion which is helpful in the adverse background conditions to improve the recognition performance. This chapter presents main components used in audio-visual speech recognition systems. Results of a prototype experiment conducted on audio-visual corpora for Hindi speech have been reported of simple phoneme recognition task. The chapter also addresses some of the issues related to visual feature extraction and the integration of audio-visual and finally present future research directions.
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