Open Access
Technique of video features extraction for audio-video speech recognition system
M. Kubanek
- pp 181-190
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The article was published on 2005-01-01 and is currently open access. It has received 8 citations till now. The article focuses on the topics: Viseme & Voice activity detection.read more
Citations
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Journal ArticleDOI
The lip as a biometric
TL;DR: This paper considers lips shape and color features in order to determine human identity and presents standard and original geometrical parameters used in lips biometric system.
Book ChapterDOI
Human Lips as Emerging Biometrics Modality
TL;DR: This paper considers lips' shape and color features in order to determine human identity, and in this lip biometric system geometrical parameters, Zernike moments as well as color features are calculated.
Book ChapterDOI
Human Lips Recognition
TL;DR: This paper focuses on developing computer recognition system that would be used to identify humans on the basis of their lips, and considers lips’ shape and color features in order to determine human identity.
Book ChapterDOI
Intelligent computing for automated biometrics, criminal and forensic applications
TL;DR: The goal is to develop computer vision systems that would be used to identify humans on the basis of their lips, palm and ear images.
Journal ArticleDOI
Vowel Recognition of Patients after Total Laryngectomy using Mel Frequency Cepstral Coefficients and Mouth Contour
Rafal Pietruch,Antoni Grzanka +1 more
TL;DR: The paper addresses a problem of isolated vowels recognition in patients following total laryngectomy by using the Mel Frequency Cepstral Coefficients as acoustic descriptors of a speech signal and using presented image processing algorithm the visual features can be extracted automatically from a video signal.