AUD-30.4
LDNET: UNIFIED LISTENER DEPENDENT MODELING IN MOS PREDICTION FOR SYNTHETIC SPEECH
Wen-Chin Huang, Tomoki Toda, Nagoya University, Japan; Erica Cooper, Junichi Yamagishi, National Institute of Informatics, Japan
Session:
Audio Quality and Speech Intelligibility Measures
Track:
Audio and Acoustic Signal Processing
Location:
Gather Area K
Presentation Time:
Thu, 12 May, 23:00 - 23:45 China Time (UTC +8)
Thu, 12 May, 15:00 - 15:45 UTC
Thu, 12 May, 15:00 - 15:45 UTC
Session Chair:
Zafar Rafii, Audible Magic
Session AUD-30
AUD-30.1: VOCBENCH: A NEURAL VOCODER BENCHMARK FOR SPEECH SYNTHESIS
Ehab A. AlBadawy, Ming-Ching Chang, University at Albany, State University of New York, United States of America; Andrew Gibiansky, Qing He, Jilong Wu, Facebook AI, United States of America; Siwei Lyu, University at Buffalo, State University of New York, USA, United States of America
AUD-30.2: DNSMOS P.835: A Non-Intrusive Perceptual Objective Speech Quality Metric to Evaluate Noise Suppressors
Chandan Reddy, Google, United States of America; Vishak Gopal, Ross Cutler, Microsoft, United States of America
AUD-30.3: SQAPP: No-Reference Speech Quality Assessment via Pairwise Preference
Pranay Manocha, Adam Finkelstein, Princeton University, United States of America; Zeyu Jin, Adobe Research, United States of America
AUD-30.4: LDNET: UNIFIED LISTENER DEPENDENT MODELING IN MOS PREDICTION FOR SYNTHETIC SPEECH
Wen-Chin Huang, Tomoki Toda, Nagoya University, Japan; Erica Cooper, Junichi Yamagishi, National Institute of Informatics, Japan
AUD-30.5: AECMOS: A SPEECH QUALITY ASSESSMENT METRIC FOR ECHO IMPAIRMENT
Marju Purin, Sten Sootla, Mateja Sponza, Ando Saabas, Ross Cutler, Microsoft Corporation, Estonia
AUD-30.6: MOS Predictor for Synthetic Speech with I-vector Inputs
Miao Liu, Jing Wang, Beijing Institute of Technology, China; Shicong Li, Fei Xiang, Xiaomi Inc., China; Yue Yao, Lidong Yang, Inner Mongolia University of Science and Technology, China