Technical Program

SP-P9: Speech Synthesis II

Session Type: Poster

Time: Thursday, March 24, 08:30 - 10:30

Session Chairs: Oliver Watts, University of Edinburgh and Hemant Patil, Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, India

SP-P9.1: DIRECTLY MODELING VOICED AND UNVOICED COMPONENTS IN SPEECH WAVEFORMS BY NEURAL NETWORKS

Keiichi Tokuda; Nagoya Institute of Technology

Heiga Zen; Google Inc.

SP-P9.2: THE MATCHING-MINIMIZATION ALGORITHM, THE INCA ALGORITHM AND A MATHEMATICAL FRAMEWORK FOR VOICE CONVERSION WITH UNALIGNED CORPORA

Yannis Agiomyrgiannakis; Google Inc.

SP-P9.3: VOICE MORPHING THAT IMPROVES TTS QUALITY USING AN OPTIMAL DYNAMIC FREQUENCY WARPING-AND-WEIGHTING TRANSFORM

Yannis Agiomyrgiannakis; Google Inc.

Zoi Roupakia; University of Cambridge

SP-P9.4: USING CONTINUOUS LEXICAL EMBEDDINGS TO IMPROVE SYMBOLIC-PROSODY PREDICTION IN A TEXT-TO-SPEECH FRONT-END

Asaf Rendel; IBM Haifa Research Lab

Raul Fernandez; IBM Thomas J. Watson Research Center

Ron Hoory; IBM Haifa Research Lab

Bhuvana Ramabhadran; IBM Thomas J. Watson Research Center

SP-P9.5: CUTE: A CONCATENATIVE METHOD FOR VOICE CONVERSION USING EXEMPLAR-BASED UNIT SELECTION

Zeyu Jin; Princeton University

Adam Finkelstein; Princeton University

Stephen DiVerdi; Adobe Research

Jingwan Lu; Adobe Research

Gautham J. Mysore; Adobe Research

SP-P9.6: STATISTICAL F0 PREDICTION FOR ELECTROLARYNGEAL SPEECH ENHANCEMENT CONSIDERING GENERATIVE PROCESS OF F0 CONTOURS WITHIN PRODUCT OF EXPERTS FRAMEWORK

Kou Tanaka; NAIST

Hirokazu Kameoka; NTT Corporation

Tomoki Toda; Nagoya University

Satoshi Nakamura; NAIST

SP-P9.7: IMPLEMENTATION OF F0 TRANSFORMATION FOR STATISTICAL SINGING VOICE CONVERSION BASED ON DIRECT WAVEFORM MODIFICATION

Kazuhiro Kobayashi; Nara Institute of Science and Technology

Tomoki Toda; Nagoya University

Satoshi Nakamura; Nara Institute of Science and Technology

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