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Audio-Visual Speaker Conversion using Prosody Features

Adela Barbulescu 1, 2, * Thomas Hueber 3 Gérard Bailly 3 Rémi Ronfard 1, *
* Corresponding author
1 IMAGINE - Intuitive Modeling and Animation for Interactive Graphics & Narrative Environments
Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology, LJK - Laboratoire Jean Kuntzmann, Inria Grenoble - Rhône-Alpes
Abstract : The article presents a joint audio-video approach towards speaker identity conversion, based on statistical methods originally introduced for voice conversion. Using the experimental data from the 3D BIWI Audiovisual corpus of Affective Communication, mapping functions are built between each two speakers in order to convert speaker-specific features: speech signal and 3D facial expressions. The results obtained by combining audio and visual features are compared to corresponding results from earlier approaches, while outlining the improvements brought by introducing dynamic features and exploiting prosodic features.
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https://hal.inria.fr/hal-00842928
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Submitted on : Tuesday, July 9, 2013 - 5:08:12 PM
Last modification on : Tuesday, October 19, 2021 - 11:22:26 PM
Long-term archiving on: : Wednesday, April 5, 2017 - 9:14:16 AM

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  • HAL Id : hal-00842928, version 1
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Adela Barbulescu, Thomas Hueber, Gérard Bailly, Rémi Ronfard. Audio-Visual Speaker Conversion using Prosody Features. AVSP 2013 - 12th International Conference on Auditory-Visual Speech Processing, Aug 2013, Annecy, France. pp.11-16. ⟨hal-00842928⟩

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