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The Label Machine Podcast #28 - Dr. Martin Clancy (Music Producer & Author)
On this episode Nick shares the stage with Dr. Martin Clancy, who
is a distinguished Irish musician, academic, and industry consultant, currently serving as an IRC Research Fellow at the Center for Digital Humanities, Trinity College Dublin. He holds the prestigious position of Founder Chair of the IEEE Global AI Ethics Arts Committee.
His expertise in AI and music is widely recognized, with publications in the IEEE Journal and a book titled "Artificial Intelligence and Music Ecosystem" published by Routledge UK. As a Certified Ableton Live 11 Trainer, he has imparted knowledge on music creativity and industry practices in renowned institutions like KTH Royal Institute of Technology, Queen Mary University of London, and University College Dublin.
Join host Nick on this insightful podcast as we explore the world of music and technology. Delve into the distinctions between the music industry and the music ecosystem, unravel the complexities of music copyright infringements, and discover the myriad ways AI is revolutionizing music-making, from creative composition to marketing.
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By The Label MachineOn this episode Nick shares the stage with Dr. Martin Clancy, who
is a distinguished Irish musician, academic, and industry consultant, currently serving as an IRC Research Fellow at the Center for Digital Humanities, Trinity College Dublin. He holds the prestigious position of Founder Chair of the IEEE Global AI Ethics Arts Committee.
His expertise in AI and music is widely recognized, with publications in the IEEE Journal and a book titled "Artificial Intelligence and Music Ecosystem" published by Routledge UK. As a Certified Ableton Live 11 Trainer, he has imparted knowledge on music creativity and industry practices in renowned institutions like KTH Royal Institute of Technology, Queen Mary University of London, and University College Dublin.
Join host Nick on this insightful podcast as we explore the world of music and technology. Delve into the distinctions between the music industry and the music ecosystem, unravel the complexities of music copyright infringements, and discover the myriad ways AI is revolutionizing music-making, from creative composition to marketing.