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TH2.I: Machine Learning for Speech Synthesis II

Session Type: Poster
Time: Thursday, 7 May, 11:30 - 13:30
Location: On-Demand
Session Chairs: Tomoki Toda, Nagoya University and Zhiyong Wu, Tsinghua University
 
   TH2.I.1: EFFICIENT SHALLOW WAVENET VOCODER USING MULTIPLE SAMPLES OUTPUT BASED ON LAPLACIAN DISTRIBUTION AND LINEAR PREDICTION
         Patrick Lumban Tobing; Nagoya University
         Yi-Chiao Wu; Nagoya University
         Tomoki Hayashi; Nagoya University
         Kazuhiro Kobayashi; Nagoya University
         Tomoki Toda; Nagoya University
 
   TH2.I.2: FLOW-TTS: A NON-AUTOREGRESSIVE NETWORK FOR TEXT TO SPEECH BASED ON FLOW
         Chenfeng Miao; Ping An Technology (Shenzhen) Co., Ltd.
         Shuang Liang; Ping An Technology (Shenzhen) Co., Ltd.
         Minchuan Chen; Ping An Technology (Shenzhen) Co., Ltd.
         Jun Ma; Ping An Technology (Shenzhen) Co., Ltd.
         Shaojun Wang; Ping An Technology (Shenzhen) Co., Ltd.
         Jing Xiao; Ping An Technology (Shenzhen) Co., Ltd.
 
   TH2.I.3: WAVEFFJORD: FFJORD-BASED VOCODER FOR STATISTICAL PARAMETRIC SPEECH SYNTHESIS
         Ning-Qian Wu; University of Science and Technology of China
         Zhen-Hua Ling; University of Science and Technology of China
 
   TH2.I.4: IMPROVING LPCNET-BASED TEXT-TO-SPEECH WITH LINEAR PREDICTION-STRUCTURED MIXTURE DENSITY NETWORK
         Min-Jae Hwang; Yonsei university
         Eunwoo Song; Naver corporation
         Ryuichi Yamamoto; LINE Corporation
         Frank K. Soong; Microsoft Research Asia
         Hong-Goo Kang; Yonsei university
 
   TH2.I.5: DISENTANGLING TIMBRE AND SINGING STYLE WITH MULTI-SINGER SINGING SYNTHESIS SYSTEM
         Juheon Lee; Seoul National University
         Hyeong-Seok Choi; Seoul National University
         Junghyun Koo; Seoul National University
         Kyogu Lee; Seoul National University
 
   TH2.I.6: SEQUENCE-TO-SEQUENCE SINGING SYNTHESIS USING THE FEED-FORWARD TRANSFORMER
         Merlijn Blaauw; Universitat Pompeu Fabra
         Jordi Bonada; Universitat Pompeu Fabra
 
   TH2.I.7: KOREAN SINGING VOICE SYNTHESIS BASED ON AUTO-REGRESSIVE BOUNDARY EQUILIBRIUM GAN
         Soonbeom Choi; Korea Advanced Institute of Science and Technology (KAIST)
         Wonil Kim; Korea Advanced Institute of Science and Technology (KAIST)
         Saebyul Park; Korea Advanced Institute of Science and Technology (KAIST)
         Sangeon Yong; Korea Advanced Institute of Science and Technology (KAIST)
         Juhan Nam; Korea Advanced Institute of Science and Technology (KAIST)
 
   TH2.I.8: FAST AND HIGH-QUALITY SINGING VOICE SYNTHESIS SYSTEM BASED ON CONVOLUTIONAL NEURAL NETWORKS
         Kazuhiro Nakamura; Techno-Speech
         Shinji Takaki; Techno-Speech
         Kei Hashimoto; Techno-Speech
         Keiichiro Oura; Techno-Speech
         Yoshihiko Nankaku; Nagoya Institute of Technology
         Keiichi Tokuda; Techno-Speech
 
   TH2.I.9: HYBRID NEURAL-PARAMETRIC F0 MODEL FOR SINGING SYNTHESIS
         Jordi Bonada; Universitat Pompeu Fabra
         Merlijn Blaauw; Universitat Pompeu Fabra
 
   TH2.I.10: UTTERANCE-LEVEL SEQUENTIAL MODELING FOR DEEP GAUSSIAN PROCESS BASED SPEECH SYNTHESIS USING SIMPLE RECURRENT UNIT
         Tomoki Koriyama; University of Tokyo
         Hiroshi Saruwatari; University of Tokyo
 
   TH2.I.11: EMOTIONAL SPEECH SYNTHESIS WITH RICH AND GRANULARIZED CONTROL
         Se-Yun Um; Yonsei University
         Sangshin Oh; Yonsei University
         Kyungguen Byun; Yonsei University
         Inseon Jang; Electronics and Telecommunications Research Institute (ETRI)
         Chunghyun Ahn; Electronics and Telecommunications Research Institute (ETRI)
         Hong-Goo Kang; Yonsei University
 
   TH2.I.12: TOWARDS UNSUPERVISED SPEECH RECOGNITION AND SYNTHESIS WITH QUANTIZED SPEECH REPRESENTATION LEARNING
         Alexander H. Liu; National Taiwan University
         Tao Tu; National Taiwan University
         Hung-yi Lee; National Taiwan University
         Lin-shan Lee; National Taiwan University