tag > Music
-
Making music with AI is extremely fun
With features such as "Generate from Text-Prompt", "Generate variations", "Generate continuations", "Fill the gap", "Interpolate" and "Style Transfer", these tools offer endless possibilities for experimentation. 🎵 🤖
-
A fun exchange from this week, I'm still unpacking: "Would it be OK if we remove everything with the labels "noise music" and "death-metal" from the training set? It make a perfectly working generator feel broken"
-
Musical One-Shot Samples (kick, snare, bass sounds, etc.) are used everywhere in music production. The (latent) space of possible permutations is surprisingly small.
-
"Live musicians were so terrified of recording their music FDR had to step in"
#Comment: 100y ago, the emergence of recorded music & radio sparked intense debates among musicians, who viewed the new technologies as threats. In hindsight, it's clear that the transformation was swift, all-encompassing & largely positive. We can draw analogies from this experience today
-
The Digital Audio Workstation Disconnect
Digital Audio Workstations (DAW) were designed to unleash musicians' creativity, yet their user experience often feels like operating complex and dull business software or sitting in a fighter jet cockpit. How did we end up with such a disconnect between intention & reality?
-
Spotify, a sleeping giant?
Puzzled by the lack of focus on AI at Spotify's StreamOn event today. Given the enormous potential of AI in music and its rapid advancements, it's surprising that they had zero related news, besides a brief mention of their new "AI DJ", which feels like an afterthought product.
-
I'm in love with Audio Superresolution ♥️
All those music records made from 1900 > 1960 that are so wonderful but have terrible quality? Audio Super-Resolution let's us reimagine them in pristine modern quality. Wild times.
-
Generative Music Tech Bro Communities
One of the prominent generative AI music communities distinctly feels like a ultra geeky tech bro festival, akin to hardcore gaming communities. Would Charlie Parker and Miles Davis (or any of the leading musicians of the past 100y) have intermingled with it?
-
Enjoy some atmospheric lofi-ish music, generated with riffusion
-
CLAP: Contrastive Language-Audio Pretraining: Paper - Code & Model - Dataset
#Comment: Sometimes it's the simple things that bring joy to the heart: Training an ML model on a few million songs plus meta-data, produces a formidable "neural music search & recommendation engine". A very useful component for downstream applications.
-
Illustration from a research project i published back in 2017, that explored generating music with ML guided by Musical Novelty Search. Fun time to revisit, as the tech has gotten dramatically better since.
-
Sounding The Secrets Of AudioLM - "Dive into the inner workings of Google AI’s language modeling approach to audio generation"
-
Prediction: "Dance-To-Music Generation" will become a big deal on social platforms and beyond.
(Image from: https://github.com/L-YeZhu/CDCD) - #Music #ML #Augmentation #Generative
-
Typical sounds of different animals:
- Cow: Moooo
- Dog: Wow
- Cat: Miau
- Bird: Tschirp
- Human: The noise of billions of cars, airplanes, chainsaws & leaf-blowers
-
"The act of saying very little to mean a lot" - Jeff Mills on minimal techno
#Comment: With the emerging generative AI music tools, it's now possible to convert any tune into its minimal components and play with it.
