#CFP

Recent Advances in Music Processing

Special Session at APSIPA ASC 2026 exploring music signal processing, computational musicology, deep learning for music, interactive music systems, MIR, and AI-based music research.

📍 Hanoi, Vietnam
📅 9–12 November 2026

https://www.apsipa2026.org/call_special_session.html

Organizers:
Tetsuro Kitahara ([email protected]) &
Eita Nakamura

Deadline: 15/05/2026

#MusicTechnology #MIR #MusicInformationRetrieval #SignalProcessing #AI #ComputationalMusicology

#AcademicJob | #PhDStudentship

PhD in Music Information Retrieval for Irish Traditional Music

📍Maynooth University, Ireland

Fully funded PhD in MIR, audio signal processing, machine learning, and computational analysis of Irish Traditional Music. Open to applicants from Computer Science, Music Technology, Audio Processing, #AI/ML and related fields.

Deadline: 29/05/2026

https://www.maynoothuniversity.ie/sites/default/files/assets/document/MU%20Doctoral%20Scholarship%20Dept%20of%20Computer%20Science%20BF.pdf

#MIR #MusicTechnology #MachineLearning #IrishMusic #ComputationalMusicProcessing

Discovering Electronic Music (1970)
https://youtu.be/5AmatpZZV3E
„This documentary explores the evolution of music in the technological age, focusing on how electronic synthesizers and computers have revolutionized sound creation …“

#electronicmusic, #synthesizers, #oscillators, #computermusic, #waveforms, #soundengineering, #musictechnology, #composition, #filters, #notation

Here's a figure to understand - 71% of musicians are using AI to separate stems, not to replace themselves.

The debate about AI and music has been almost entirely about text-to-song generators. The actual data shows that's what the least number of musicians use AI for. Most are using it for stem separation, backing tracks, ear training, and mixing assistance - tools that make their practice more viable, not tools that replace it.

Bottom line - musicians are still making music. I think they always will. No-one can replace passion with technology. The consent and royalty dilution problems are real. The training data problem is real. Seven million AI-generated tracks are being uploaded every day and they are absolutely affecting the royalty pool. None of that is resolved by pretending the 71% using AI as a tool to enhance their practice are doing the same thing as the content farms flooding distribution infrastructure with synthetic material. They are not.

The Pack's position is about what kind of content the platform supports, not about which software musicians use to make it. Keeping those two questions distinct matters for the quality of the argument - and for the working musicians who don't need to be told the tools they rely on are disqualifying.

New blog explores what musicians actually use AI for, and why conflating different uses has been confusing the conversation.

👉 https://www.packmusic.au/blog/the-71-percent

#AIandMusic #MusicIndustry #IndependentArtists #AIethics #MusicTechnology #ThePackMusic #HumanCuration #ArtistRights

Donna Dresch (#TeamDresch) has made a bunch of handy little music tools/apps and put them on her website:

https://donnadresch.com/

#MusicTechnology #MIDI #Guitar

🚨 🚀 @firesidefedi is live on Owncast! 🚀
Catch the stream here: https://stream.firesidefedi.live/

#TechHistory #MusicTechnology #VintageComputing #MylesWakeham #owncast #livestream #twitch