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Speech Assisted Motion Compensation in Videophone Communications

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Abstract

The basic objective addressed by this work is that of approaching the problem of videophone coding from an audio-video joint point of view, both for the analysis and for the synthesis. The motivating idea is that interpersonal audio-video communications represents an easily modelable information source, characterized in audio by a human speaker’s voice and in video by the same speaker’s face. In the very large majority of cases a videophone communication consists exactly of these two strongly correlated items: a talking face together with its synchronous speech.

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References

  1. F. Lavagetto. Converting Speech into Lip Movements: A Multimedia Telephone for Hard of Hearing People, IEEE Trans, on RE. 3:1 (1995).

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  3. F. Lavagetto. Maximizing the target-pattern cross-correlation for training Time-Delay Neural Networks, Proc. IEEE ICNN-95. (1995).

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  4. F. Lavagetto and S. Curinga. Object-oriented scene modeling for interpersonal video communication at very low bitrate, Signal Processing: Image Communication. 6:1 (1994).

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© 1996 Plenum Press, New York

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Lavagetto, F. (1996). Speech Assisted Motion Compensation in Videophone Communications. In: Wang, Y., Panwar, S., Kim, SP., Bertoni, H.L. (eds) Multimedia Communications and Video Coding. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-0403-6_36

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  • DOI: https://doi.org/10.1007/978-1-4613-0403-6_36

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-8036-8

  • Online ISBN: 978-1-4613-0403-6

  • eBook Packages: Springer Book Archive

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