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Title:
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SILENT VOICE COMMAND RECOGNITION FOR HCI USING VIDEO WITHOUT EVALUATING AUDIO |
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Author(s):
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Wai Chee Yau , Dinesh Kant Kumar , Hans Weghorn |
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ISBN:
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978-972-8924-39-3 |
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Editors:
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António Palma dos Reis, Katherine Blashki and Yingcai Xiao (series editors:Piet Kommers, Pedro Isaías and Nian-Shing Chen) |
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Year:
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2007 |
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Edition:
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Single |
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Keywords:
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human-computer interaction, silent speech recognition, video analysis, computer vision. |
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Type:
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Short Paper |
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First Page:
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197 |
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Last Page:
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200 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Speech control provides a flexible and natural way for users to interact with machines. However, speech recognition systems are not widely used as human computer interfaces due to their intrinsic sensitivity to variations in acoustic conditions. The performance of such a system degrades when the user changes the speaking style (speaks softly or whispers) or in noisy environments. This research proposes a method to overcome these problems by recognizing speech from video recordings, without evaluating the audio signals. This study applies video analysis techniques to recognize the voice commands. A video segmentation method to detect the start and end of isolated utterances is presented. Potential applications of such a system include car radio control, defense applications, speech control in noisy environment and HCI for disabled people. |
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