Abstract
This paper is about the visual features extraction. The shape visual features and appearance based visual features were used in this work for the speaker identification. A Gaussian Mixture Models (GMMs) were trained from these visual features and the speakers were recognized with the help of these GMMs. A difference between the speaker identification with GMM trained from audio or visual features was investigated too.
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Chaloupka, J. (2007). Extraction of the Visual Features from the Audio-Visual Speech Signal and the Utilization of These Features for the Speaker Identification. In: Kurzynski, M., Puchala, E., Wozniak, M., Zolnierek, A. (eds) Computer Recognition Systems 2. Advances in Soft Computing, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75175-5_52
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DOI: https://doi.org/10.1007/978-3-540-75175-5_52
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-75174-8
Online ISBN: 978-3-540-75175-5
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