C4DM Seminar: Yinghao Ma: The Impact of Cutting-edge AI Technologies to Music Industry
QMUL, School of Electronic Engineering and Computer Science
Centre for Digital Music Seminar Series
Seminar by:
Yinghao Ma
Date/time: Monday, 17th June 2024, 2:15pm
**Location: G2, ENG, Mile End campus, QMUL, E1 4NS ** Zoom: https://qmul-ac-uk.zoom.us/j/9798452959
Title: The Impact of Cutting-edge AI Technologies to Music Industry
Abstract: Abstract: This is a rehearsal of the invitation presentation to the Whitgift School for its teachers and Independent Directors. In this presentation, I will introduce cutting-edge AI technologies including Large Language Models (LLMs) and Latent Diffusion Models (LDMs) and their application to music understanding and music generation. We will briefly discuss the industrial applications and ethical concerns in the music industry and music education such as deepfake and copyright issues etc.
Bio: MA Yinghao (马英浩) is a Ph.D. student in Artificial Intelligence and Music (AIM) program at Centre for Digital Music (C4DM), School of EECS, Queen Mary University of London, supervised by Dr. Emmanouil Benetos, Dr. Chris Donahue (secondary), and Prof. Simon Dixon (independent assessor). He is one of the co-founders of the Multimodal Art Projection (MAP) community. Together with his colleague, he proposed an acoustic Music undERstanding model with large-scale self-supervised Training (MERT), with more than 50k downloads on the Huggingfac page, and established a Music Audio Representation Benchmark for universaL Evaluation (MRABLE). He is also interested in music-related multimodality and developed MusiLingo, a music captioning and query response model based on the alignment of single-modality pre-trained models.
Presentation: [Video Recording]