News

News

  • 2024-07-10:十万小时的Emilia数据集已开源
  • 2024-05-08: 团建及联合实验室开工酒 team building
  • 2024-05-04: 武博士受邀担任IEEE Signal Processing Letters的编委
  • 2024-05-02: NaturalSpeech 3被ICML接收。NS3中的FACodec已在Amphion中开源。
  • 2024-04-15: Amphion受邀在IEEE ICASSP 2024上展示,见现场照片
  • 2024-04-14: Jiaqi Li同学获得IEEE Travel grant
  • 2024-04-08: 港中大(深圳)-趣丸科技联合实验中心(主任:武执政博士)正式签署执行,期待开花结果。
  • 2024-03-28: 受邀在2024中国国际音频产业大会汇报Amphion开源项目。
  • 2024-03-24: 联合深圳市人工智能学会,成功举办ICASSP 2024论文预讲会。
  • 2024-03-20: 受邀在深圳彩田学校面向5-7年级学生科普生成式人工智能,第一次面向中小学生讲人工智能。
  • 2024-03-06: 博士生张雪遥同学收到Meta offer并顺利拿到美国签证,他将在硅谷度过他的暑假(5-9月),恭喜雪遥。
  • 2024-01-19: 带领学生们访问香港中文大学本部李丹教授和孔秋强教授实验室。
  • 2024-01-01: 深圳市跨模态认知重点实验室获批(主任:李海洲教授,副主任:于天维教授、武执政博士)。
  • Dec 18th, 2023: Amphion v0.1 is released. It is rated as an A+++ project by top Silcon Valley investor.
  • Dec 9th, 2023: Three papers from my team are accepted by ICASSP 2024. Congrants to Yicheng, Jiaqi and Li.
  • Oct 26th, 2023: Congrats to Xueyao Zhang (2nd year PhD student CUHK-Shenzhen) and team, whose paper on Singing Voice Conversion accepted by NeurIPS 2023 Workshop on Machine Learning for Audio.
  • Oct 20th, 2023: Prof. Zhizheng Wu gave an invited talk on voice anti-spoofing at the Symposium on Speaker Verification and its Application.
  • Oct 19th, 2023: Prof. Zhizheng Wu visited Nankai University, and was appointed as an external advisor.
  • Oct 13th, 2023: Prof. Zhizheng Wu was listed in the Stanford ‘World’s Top 2% Scientists’ list. See the interview by Shenzhen TV.
  • Oct 10th, 2023: Congrats to Jiaqi Li (UG CUHK-Shenzhen), who starts internship at Microsoft Research.
  • Sep 22th, 2023: Congrats to Yuancheng Wang (1st year PhD student CUHK-Shenzhen, UG at CUHK-Shenzhen) and team, whose paper on Audio Editing accepted by NeurIPS 2023.
  • Aug 27th, 2023: The proposal to host IEEE SLT workshop 2024 led by Prof. Wu was approved. See you in Macao from Dec 9th to 12th, 2024!
  • Aug 19th, 2023: Prof. Zhizheng Wu gave a keynote speech at the IJCAI 2023 Workshop on Deepfake Audio Detection and Analysis (DADA 2023) on Recent Advances in Voice Spoofing Detection