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Specialized in audio signal processing, music information retrieval, musical interfaces, and computational musicology

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Cátedra UPF-BMAT en IA y Música

Harnessing the potential of AI by developing applications and training professionals capable of leading the transformation and renewal of the music sector

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Seminar by Elio Quinton on AI in the Music Industry

Seminar by Elio Quinton on AI in the Music Industry

Thursday February 22nd, 2024 at 12:00h, room 55.309, Campus Poblenou, Universitat Pompeu Fabra

13.02.2024

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Title: AI in the music industry

Elio Quinton, VP of Artificial Intelligence at Universal Music Group
 
Abstract: Like many technologies before AI has tremendous potential as a tool for artists and the music industry. But its responsible development and use is essential to preserve a thriving ecosystem. In this talk I will go through an overview of Ai in the music industry, and specifically at UMG. We will review Responsible AI principles to be followed for a safe, respectful and fruitful use of AI. We will then demonstrate on some examples how AI and MIR (Music Information Retrieval) may be used at UMG. Last but not least, we will discuss how a sustainable future for AI may be built and what steps UMG is taking in this direction. 
 
Bio: Elio is a scientist, engineer and leader with expertise in Artificial Intelligence (AI), Software Engineering, Audio Digital Signal Processing, Music, Music Technology and the Music Industry. He is currently VP of Artificial Intelligence at Universal Music Group (UMG), providing leadership in strategy, technology and science. He founded and lead UMG's Music & Audio Machine Learning Lab (MAML), the first ever Machine Learning R&D group in the recorded music industry. The MAML develops cutting edge technology to support and empower artists globally.  Trained as a scientist, engineer and musician, Elio holds a PhD in ML and Audio DSP from the world-leading Center for Digital Music, a Physics MSc, a MA in Music Technology and a diploma in Commercial Music performance from BIMM London.
 
 
This activity is organized in the context of the project "IA y Música: Cátedra en Inteligencia Artificial y Música" (TSI-100929-2023-1), financed by the Secretaría de Estado de Digitalización e Inteligencia Artificial, and the European Union-Next Generation EU, under the program ENIA 2022 IA industry-university chairs.
 

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