Panel Discussion

Topic
Are Neural Codecs Ready for Low-Resource Reality? Potentials and Pitfalls in the AI Era.

Host: Minje Kim (Associate Professor, UIUC)
Panel Discussion Host: Minje Kim

Minje Kim is an Associate Professor at the UIUC and an Amazon Scholar. He chairs the IEEE AASP TC and has organized various workshops, including IEEE WASPAA 2023 and HSCMA 2024. He has over 20 years of experience in machine learning and audio signal processing, with a focus on neural speech/audio coding and model compression.

Panelist: Yossi Adi (Assistant Professor, Hebrew University of Jerusalem)
Panelist: Yossi Adi

Yossi Adi is an Assistant Professor at the School of Computer Science at the Hebrew University of Jerusalem. Yossi has been a member of several technical committees, including IEEE-MLSP, MLSLP. He co-organized two special sessions and gave a tutorial talk on spoken language models at Interspeech-2024.

Panelist: Nicola Pia (Senior Scientist, Fraunhofer IIS)
Panelist: Nicola Pia

Nicola Pia is a Senior Scientist at the Fraunhofer IIS in Erlangen, Germany. He received his PhD in Mathematics from the University of Cagliari in 2019. Since joining Fraunhofer (2019), his work has focused on speech and audio coding, with a particular emphasis on communication with mobile devices.

Panelist: Jean-Marc Valin (Senior Staff Research Scientist, Google)
Panelist: Jean-Marc Valin

Jean-Marc Valin is a Research Scientist at Google and a long-time contributor to the Xiph.Org Foundation. He received his Ph.D. from the University of Sherbrooke. He is a lead architect of the Opus and Speex audio codecs. His research focuses on speech and audio coding, and speech enhancement.

Panelist: Cullen Jennings (Fellow and CTO, Cisco Systems)
Panelist: Cullen Jennings

Cullen Jennings is a Cisco Fellow and CTO for Audio/Video Collaboration and AI. He has worked on VoIP systems since the ‘90s, building platforms hosting billions of audioconferencing minutes a day. He drives standards for major internet voice communications and leads Cisco's collaboration technology vision, strategy, and AI research development. Cullen holds a Ph.D. in computer science from the University of British Columbia.

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