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Based on our record, PhonicMind should be more popular than AETROS. It has been mentiond 9 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I'm definitely interested in AI tools for music. I've used phonicmind.com to extract acapellas and instrumentals, and I intend to buy RipX for the same purpose. I'm very interested in creating generative music, though so far I haven't found any good tools for creating it. Source: about 1 year ago
Phonicmind.com is good for this, and pretty affordable too. I considered buying the stem player, but decided against it when I learned that the only way to upload your own music to it is through the website. I don't trust that the website will be around forever. Source: over 1 year ago
I regularly use PhonicMind for this exactly. Https://phonicmind.com/. Source: almost 2 years ago
I’m about to give ya the secret sauce…. Google is your friend. Source: about 2 years ago
Or https://phonicmind.com/ which does the same thing as what python can do, but you have to pay. Source: over 2 years ago
Deepkit ORM is one of a whole collection of high performance libraries written in the last years for my need in developing complex isomorphic TypeScript applications (like for example https://deepkit.ai). Since we approach the beta version I'd like to introduce you to one of its flagship libraries, the ORM, and collect feedback. So, if you are interested, please keep reading and drop me a comment about your thoughts! Source: almost 3 years ago
X-Minus.pro - X-Minus.pro is an artificial intelligence-based tool that allows you to separate vocals from a song.
Colornet - Neural Network to colorize grayscale images
LALAL.AI - Use AI to split any song into vocal and instrumental tracks
Quick Draw Game - Can a neural network learn to recognize doodles?
Spleeter - Isolate vocals from any song using AI by Deezer
Neural Networks and Deep Learning - Core concepts behind neural networks and deep learning