NateDonna Dresch (#TeamDresch) has made a bunch of handy little music tools/apps and put them on her website:
StreamRadar🚨 🚀 @firesidefedi is live on Owncast! 🚀
Catch the stream here: https://stream.firesidefedi.live/
#TechHistory #MusicTechnology #VintageComputing #MylesWakeham #owncast #livestream #twitch
Fireside Fedi Livestream
Fireside Fedi is an attempt to learn more about folks within the Fediverse.
N-gated Hacker News🎶 Ah yes, the thrilling tale of 300 #synths, 3 hardware projects, and an app that apparently requires a PhD in #MIDI jargon to appreciate. Because who wouldn't want to spend their weekend sifting through a database that's now as bloated as a synth enthusiast's wishlist? 🤯 Let's all pretend we've heard of the RozzBox One V2 and not just yawned our way through it.
https://midi.guide/blog/three-hunded-synths-one-app/ #hardwareprojects #RozzBoxOneV2 #musictechnology #HackerNews #ngated
https://midi.guide/blog/three-hunded-synths-one-app/ #hardwareprojects #RozzBoxOneV2 #musictechnology #HackerNews #ngated
Hacker NewsIntroduction to Computer Music [pdf]
https://composerprogrammer.com/introductiontocomputermusic.pdf
#HackerNews #IntroductionToComputerMusic #ComputerMusic #PDF #MusicTechnology #MusicEducation
Omega Recording StudiosMidi MAGIC at Omega!
#CreativeProducer #filmsound #audioengineeringschools #livesoundengineercourses #musicrecordingschools #productionclassesnearme #audioschool #tradeschoolsformusicproduction #musictechnology #musicproductionsoundengineeringcourses #rockvillemd
Petr Nuska#AcademicJob | #PhDStudentship
PhD – Human–AI Collaboration Through Robotic Musicianship
📍University of Canberra, Australia
Funded PhD exploring human–AI interaction through robotic musicianship. Interdisciplinary project spanning AI, robotics, HCI/HRI, music technology, and performance, focusing on trust, fluency, and group dynamics in human–robot ensembles.
Deadline: 30/04/2026
https://richardsavery.com/phd-recruitment
#AI #MusicTechnology #PhD #ComputationalMusicology #ComputationalMusicProcessing
Backstage SadieBackstage Burrow Ep5-2026: Moog v. Buchla: The Analog Revolution
Hop into the burrow with me, everybunny! Today we’re tracing the wild history of the synthesizer — from room‑sized, paper‑tape‑programmed giants in the 1950s to the voltage‑controlled modular marvels that shaped the sound of the ’70s and ’80s. We’ll meet the brilliant minds behind the Moog and Buchla synths, explore how culture shaped their designs, and see how one groundbreaking album launched synths into the mainstream. Get ready for waveforms, wobblies, filters, and a whole lot of musical magic!
#musichistory #musictechnology #electronicmusic #synthesizers #backstageburrow #rabbithole
Backstage Burrow -- Moog v. Buchla: The Analog Revolution
What if your synthesizer was powered by APL (or a dumb K clone)?
https://octetta.github.io/k-synth/
#HackerNews #synthesizer #APL #Kclone #musictechnology #programming #creativity
Postdoctoral Researcher – Sleeping Soundly Project
📍KTH Royal Institute of Technology, Stockholm
2-year postdoc developing sound-based, personalised and adaptive sleep interventions. Research focuses on interactive sonic prototypes supporting sleep onset, the sleep period, and awakening.
Deadline: 15/03/2026
https://www.kth.se/lediga-jobb/904526?l=en
#SoundStudies #MusicTechnology #SleepResearch #SonicInteraction
LukeIt’s Friday and in an attempt to remember what it was like when I did music cognition research here is possibly the article I am proudest of: it was a huge challenge to work on but I think it was a pretty good stab at better understanding a complex human behaviour AND testing some algorithmic approaches to solving a musical problem. Hank and I nearly came to blows because of our radically different backgrounds and personality types but all was well in the end. Fortunately Peter was good at keeping us on track ;-)
https://link.springer.com/article/10.3758/BF03200827#preview
(no paywall)
#music #InformationProcessing #PatternMatching #algorithms #modeling #CognitiveScience #MusicTechnology #memories
Data processing in music performance research: Using structural information to improve score-performance matching - Behavior Research Methods
In order to study aspects of music performance, one has to find correspondences between the performance data and a score. Locating the corresponding score note for every performance note, calledmatching, is therefore a common task. An algorithm that automates this procedure is called amatcher. Automated matching is difficult because performers make errors, performers use expressive timing, and scores are frequently underspecified. To find the best match, most matchers use information about pitch, temporal order, and the number of matched notes. We show that adding information about the musical structure of the score gives better results. However, we found that even this information was insufficient to identify some types of performance errors and that a definition of best match based only on the number of matched notes is sometimes problematic. We provide some suggestions about how to achieve greater improvements.