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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.
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“What we really need is a new breed of artist-computer scientist” - Michael Noll (1970)
Image: Graphics Generated by A. Michael Noll at Bell Labs in 1962 on a IBM 7094 with IBM 7151 Console.
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Incredibly great news today. Major milestone passed 🥰🔥
"The only good system is a sound system"
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Companies in the Generative AI space that do not have a well-planed strategy for creating a "clean dataset" free of copyright issues, are short-sighted. Investing in a best-effort approach now can unlock significant opportunities down the line.
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Prediction: Neural Rendering will be THE topic across the games industry in 2024: generative AI pipelines that convert low quality (low FPS/poly/style) game graphics into near photorealistic ultra smooth graphics on the fly.
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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.
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Over the last hundred years, statisticians have uncovered a whole universe of statistical distributions and relationships between them.
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Sounding The Secrets Of AudioLM - "Dive into the inner workings of Google AI’s language modeling approach to audio generation"
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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
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We're approaching a critical juncture in human communication. In the next few years, artificial neural networks will play a crucial role in mediating the majority of our interactions.
