mlsanityData to 7 Oct 2026

AI (r)evolution -- where are we heading? Thoughts about the future of music and sound technologies in the era of deep learning

arXiv 2310.18320 ↗First posted 20 Sep 2023cs.CY cs.AIcited by 1

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Abstract (arXiv)

Artificial Intelligence (AI) technologies such as deep learning are evolving very quickly bringing many changes to our everyday lives. To explore the future impact and potential of AI in the field of music and sound technologies a doctoral day was held between Queen Mary University of London (QMUL, UK) and Sciences et Technologies de la Musique et du Son (STMS, France). Prompt questions about current trends in AI and music were generated by academics from QMUL and STMS. Students from the two institutions then debated these questions. This report presents a summary of the student debates on the topics of: Data, Impact, and the Environment; Responsible Innovation and Creative Practice; Creativity and Bias; and From Tools to the Singularity. The students represent the future generation of AI and music researchers. The academics represent the incumbent establishment. The student debates reported here capture visions, dreams, concerns, uncertainties, and contentious issues for the future of AI and music as the establishment is rightfully challenged by the next generation.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 15 of its 38 references that are in the map. First posted on arXiv 20 Sep 2023.

Builds on

15 of 38 references.

References · 15

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3 more
  1. 2021Hybrid Spectrogram and Waveform Source Separationcited by 90
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