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SPE-L7: Voice Conversion

Session Type: Lecture
Time: Thursday, April 23, 10:00 - 12:00
Location: Plenary Hall, TICC
Session Chair: Yannis Stylianou, University of Crete
 
  SPE-L7.1: VOICE CONVERSION USING ARTIFICIAL NEURAL NETWORKS
         Srinivas Desai; International Institute of Information Technology - Hyderabad
         Veera Raghavendra E; International Institute of Information Technology - Hyderabad
         Yegnanarayana B; International Institute of Information Technology - Hyderabad
         Alan W. Black; Carnegie Mellon University
         Kishore Prahallad; Carnegie Mellon University
 
  SPE-L7.2: VOICE CONVERSION BASED ON SIMULTANEOUS MODELING OF SPECTRUM AND F0
         Kaori Yutani; Nagoya Institute of Technology
         Yosuke Uto; Nagoya Institute of Technology
         Yoshihiko Nankaku; Nagoya Institute of Technology
         Akinobu Lee; Nagoya Institute of Technology
         Keiichi Tokuda; Nagoya Institute of Technology
 
  SPE-L7.3: ACOUSTIC COMPENSATION METHODS FOR BODY TRANSMITTED SPEECH CONVERSION
         Daisuke Miyamoto; Nara Institute of Science and Technology
         Keigo Nakamura; Nara Institute of Science and Technology
         Tomoki Toda; Nara Institute of Science and Technology
         Hiroshi Saruwatari; Nara Institute of Science and Technology
         Kiyohiro Shikano; Nara Institute of Science and Technology
 
  SPE-L7.4: TEMPORALLY VARIABLE MULTI-ASPECT AUDITORY MORPHING ENABLING EXTRAPOLATION WITHOUT OBJECTIVE AND PERCEPTUAL BREAKDOWN
         Hideki Kawahara; Wakayama University
         Ryuichi Nisimura; Wakayama University
         Toshio Irino; Wakayama University
         Masanori Morise; Kwansei Gakuin University
         Toru Takahashi; Kyoto University
         Hideki Banno; Meijo University
 
  SPE-L7.5: VOICE CONVERGIN: SPEAKER DE-IDENTIFICATION BY VOICE TRANSFORMATION
         Qin Jin; Carnegie Mellon University
         Arthur Toth; Carnegie Mellon University
         Tanja Schultz; Carnegie Mellon University
         Alan W. Black; Carnegie Mellon University
 
  SPE-L7.6: MIXTURE OF PROBABILISTIC LINEAR REGRESSIONS: A UNIFIED VIEW OF GMM-BASED MAPPING TECHNIQUES
         Yu Qiao; The University of Tokyo
         Nobuaki Minematsu; The University of Tokyo
 

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