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#MusicTech

8 posts8 participants0 posts today
Public
Matthew Whitaker

Hey y’all! 👋🏽

I’m looking for a good Mac app that can help me search through files more effectively. Right now, I’m trying to go through a big folder of sound effects on my external SSD—but when I search for specific words like *car* or *farm*, nothing useful shows up. 😩

The app *must* be accessible with VoiceOver. Any suggestions?

#MacOS#Accessibility#VoiceOver
Public
Petr Nuska

#AcademicJob

Come to work with us at #CzechAcademyOfSciences in #Prague

We're inviting Expressions of Interest for a Marie Skłodowska-Curie Postdoctoral Fellowship (MSCA-PF) to collaborate on a digital research database of Czech folk songs.

📅 Deadline: 31/05/2025

eu.avcr.cz/en/news/MSCA-PF-Exp

CC @academicjobs

www.eu.avcr.czMSCA-PF Expressions of Interest - The Institute of Ethnology CAS
#Musicology#DigitalHumanities#MusicTech
Public
Cyborg Soloists

Thanks to everyone who came to Zubin Kanga & Ensemble Offspring's premiere performances of new #cyborgsoloists works by Brigitta Muntendorf, Amanda Cole, Tristan Coelho & Zubin Kanga on the weekend. There's a lovely 5-star review in Limelight - read it here: limelight-arts.com.au/reviews/ Videos to follow in a little bit! #musicTech #musicTechnology #lumatone #Genki #sensors

LimelightLumen Machine (Ensemble Offspring)Read the Limelight review.
Public
Snuffleupadon

I saw this LinkedIn post from an #AI bro a little while ago arguing that AI enables creativity like DAWs and other #musictech does. On the surface I think this could come across as a valid argument. However...

Music tech like DAWs enable new workflows and democratize production. AI also creates new workflows. Where the two diverge though is in how AI, particularly #LLMs, are able to pull it off. The training data was sourced from basically all publicly accessible information.

If when you produce a track in a #DAW using copyrighted material inappropriately you can and most likely will face consequences. When you produce #music or #art using an LLM, the source material has been laundered through the LLM so you can produce something derivative theoretically without having to attribute or face any consequences. The inappropriate use is still there but it's been conveniently moved out of view. Then, the public can look at the product and all know it's wrong without having to admit it.

Public
Cyborg Soloists

We're in Australia this weekend! Zubin Kanga is performing four world premiere #cyborgsoloists works by Brigitta Muntendorf, Amanda Cole, Tristan Coelho & himself with the marvellous Ensemble Offspring. Featuring technology including a #Lumatone keyboard, #Genki Wave Ring & infrared sensors & #lasers. Saturday in Sydney, Sunday in Newcastle. Details & tickets here: ensembleoffspring.com/event/lu #musictechnology #musictech #synthesizer #contemporarymusic #newmusic

A poster for the 'Lumen Machine' performance by Zubin Kanga and Ensemble Offspring. The text gives these details, as well as giving the names of the composers whose works are being premiered: Brigitta Muntendorf, Zubin Kanga, Amanda Cole and Tristan Coelho. Behind the text is a photograph of a white woman (percussionist Claire Edwards) in a pink dress holding some crotales. She is looking at the camera and behind her is a green swirl on a black background.
Public
NeoFinder for macOS and iOS

#NeoFinder 8.9 for #macOS is now able to #catalog WMA #audio files for you, including the embedded ID3 tags, lyrics, and cover art!

neofinder.de/forum/phpBB3/view

And of course, NeoFinder already also reads MP3, AAC, m4a, AIFF, WAVE, BWF, FLAC, CAF, OGG, AMR and even Sony DSF and SDS files. So you can keep control over your entire #music collection.

#MediaAssetManager#MusicProduction#AudioProducer
Public
Petr Nuska

#AcademicJob

AI & Audio Scientist

📍 Universal Music Group (London or remote in EMEA)

Join UMG’s Music and Audio Machine Learning Lab (MAML) to develop cutting-edge AI/ML tools for music. Ideal for those with experience in MIR, generative models, multimodal learning, or music LLMs.

umusic.wd5.myworkdayjobs.com/U

CC @academicjobs

umusic.wd5.myworkdayjobs.comAI & Audio ScientistMusic is Universal It’s the passionate and dedicated team at Universal Music who help make us the world’s leading music company. From A&R to finance, legal to digital, sales to marketing, Universal Music is the place to grow and develop your career within a truly commercial and innovative business that leads in everything it does. Everyone is welcome to apply for our roles, and we are determined to ensure that no applicant or employee receives less favourable treatment because of gender, race, disability, sexual orientation, religion, belief, age, marital status, background, pregnancy, or caring responsibilities. We also recognise the importance of diversity of thought within our teams and are fully committed to embracing the talents of people with autism, dyslexia, ADHD, and other forms of neurocognitive variation. We will always seek to make appropriate adjustments to recruitment, workplaces, and work processes to be fully inclusive to people with different needs and working styles. If you need us to make any reasonable adjustments for you from application onwards, including alternatives to the online form or to disclose a neurocognitive condition, please email UniversalMusicCareers@umusic.com. The A Side: A Day in The Life This role sits within the Music and Audio Machine Learning Lab (MAML) at UMG. Part of the Global Technology organization, the MAML’s mission is to invent and build state of the art AI/ML tools to support and empower Artists, and industry professionals. The MAML covers the full research & development lifecycle, from explorative research to prototypes to industrial scale products. It typically undertakes projects with applications such as, but not limited to, content understanding, creative tools, search, recommendation, etc. We are curious, passionate and committed to push the envelope in AI for music. If you are excited at the idea of working on state-of-the-art music & audio machine learning at industry scale and make an impact, we want to hear from you! The B Side: Skills & Experience Be Technical Design and build state-of-the-art AI/ML algorithms to tackle a variety of tasks in music/audio Explore frontier research in AI/ML for Music/Audio, and related opportunities for UMG Be Collaborative Collaborate with the team and stakeholders to deploy models to production Communicate results and findings to audiences of all levels of expertise Be part of an innovative and dynamic team Person Specification Strong background in AI / Machine Learning / Digital Signal Processing /Computer Science or related technical field 3+ years of hands-on professional and/or research experience in AI/ML or related technical fields applied to audio/music Experience in at least one of: Music Information Retrieval, generative models, multi-modal deep learning, representation learning, music LLMs Up to date knowledge of AI/ML state of the art, including scientific literature, tools, models, best practices etc Proven ability to come up with novel ideas and designs for AI/ML models, systems, pipelines and/or applications, and to implement them successfully Strong software engineering skills Proficiency in Python, ML frameworks (Pytorch, Tensorflow etc.) and usual scientific libraries (e.g. Numpy, Scipy, sklearn) Familiarity with Linux environments Ability to write good, well documented, and reusable code Good communication skills, both oral and written Curious, self-motivated, and proactive Passion for music and/or deep musical understanding Desirable Track record of publication(s) in relevant conferences or journals (e.g. ISMIR, ICASSP, Neurips, ICLR etc) Experience with generative models for audio/music Experience working in industry Experience going all the way from ideation / early research to production Familiarity/experience with cloud computing environments (e.g. AWS, Google Cloud Platform) Experience with distributed model training Experience with containerised software development (e.g. Docker) Bonus Tracks: Your Benefits Group Personal Pension Scheme (between 3% and 9%) Private Medical Insurance 25 paid days of annual leave Interest Free Season Ticket Loan Holiday Purchase scheme Dental and Travel Insurance options Cycle to Work Scheme Salary Sacrifice Cars Subsidised Gym Membership Employee Discounts (Reward Gateway) Just So You Know… The company presents this job description as a guide to the major areas and duties for which the jobholder is accountable. However, the business operates in an environment that demands change and the jobholder's specific responsibilities and activities will vary and develop. Therefore, the job description should be seen as indicative and not as a permanent, definitive, and exhaustive statement. Job Category: Technology We are Universal Music Group, the world’s leading music company. We are the home for music’s greatest artists, innovators and entrepreneurs.
#AI#MIR#MusicTech
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