IEEE ICASSP 2022

2022 IEEE International Conference on Acoustics, Speech and Signal Processing

7-13 May 2022
  • Virtual (all paper presentations)
22-27 May 2022
  • Main Venue: Marina Bay Sands Expo & Convention Center, Singapore
27-28 October 2022
  • Satellite Venue: Crowne Plaza Shenzhen Longgang City Centre, Shenzhen, China

ICASSP 2022
CHAL-5: Audio Deepfake Detection
Sat, 7 May, 22:00 - 22:45 China Time (UTC +8)
Sat, 7 May, 14:00 - 14:45 UTC
Location: Gather Area B
Session Co-Chairs: Jianhua Tao, Institute of Automation Chinese Academy of Sciences and Jiangyan Yi, Institute of Automation Chinese Academy of Sciences
Track: Grand Challenge

CHAL-5.1: ADD 2022: the First Audio Deep Synthesis Detection Challenge

Jiangyan Yi, Ruibo Fu, Jianhua Tao, Shuai Nie, Haoxin Ma, Chenglong Wang, Tao Wang, Zhengkun Tian, Ye Bai, Cunhang Fan, Shan Liang, Shiming Wang, Shuai Zhang, Zhengqi Wen, Institute of Automation, Chinese Academy of Sciences, China; Xinrui Yan, Le Xu, University of Chinese Academy of Sciences, China; Haizhou Li, National University of Singapore, Singapore

CHAL-5.2: Time Domain Adversarial Voice Conversion for ADD 2022

Cheng Wen, Tingwei Guo, Xingjun Tan, Rui Yan, Shuran Zhou, Chuandong Xie, Wei Zou, Xiangang Li, Beike, China

CHAL-5.3: Audio Deepfake Detection System with Neural Stitching for ADD 2022

Rui Yan, Cheng Wen, Shuran Zhou, Tingwei Guo, Wei Zou, Xiangang Li, Beike, China

CHAL-5.4: FAKE AUDIO DETECTION BASED ON UNSUPERVISED PRETRAINING MODELS

Zhiqiang Lv, Shanshan Zhang, Kai Tang, Pengfei Hu, Tencent, China

CHAL-5.5: Partially Fake Audio Detection by Self-attention-based Fake Span Discovery

Haibin Wu, Hung-yi Lee, National Taiwan University, Taiwan; Heng-Cheng Kuo, Kuo-Hsuan Hung, Yu Tsao, Research Center for Information Technology Innovation, Academia Sinica, Taiwan, Taiwan; Naijun Zheng, Helen Meng, The Chinese University of Hong Kong, Hong Kong; Hsin-Min Wang, Institute of Information Science, Academia Sinica, Taiwan, Taiwan

CHAL-5.6: THE VICOMTECH AUDIO DEEPFAKE DETECTION SYSTEM BASED ON WAV2VEC2 FOR THE 2022 ADD CHALLENGE

Juan M. Martín-Doñas, Aitor Álvarez, Vicomtech Foundation, Spain