• The rapid progress in speech and audio generative AI [1,2] brings exciting new opportunities, but also raises important ethical concerns, addressing responsible-use questions more critical than ever. Recent years have witnessed great developments in synthetic speech, voice cloning, singing voice synthesis, music, and sound effect generation, profoundly changing domains [3] like media production, accessibility, and human-computer interaction. However, this progress raises critical concerns about responsibility [4], including bias, misuse, accountability, and the lack of transparency in generative model operations. This session aims to bring together the speech and audio research community to address emerging challenges in responsible generative technologies.

  • With the rapid development of deep learning and generative AI, it has become increasingly easy to create or manipulate synthetic media. Even inexperienced users can now generate highly realistic content with minimal effort. While this progress brings exciting opportunities, it also introduces significant risks, particularly when these technologies are misused for malicious purposes such as spreading misinformation or compromising security systems.