LALAL.AI introduces a new and improved way to extract vocals and instruments from music tracks. The new online service uses a machine-learning algorithm to precisely identify and carefully separate vocal and instrumental tracks.
We've compared all available audio splitting methods and proved that ours is the best. For the sake of objectivity, we have improved some of these methods using our music database — the studio-quality multi-track recordings (the material that sound engineers operate with).
200GB of training data — this number was artificially increased during the training up to a whopping 20TB. 45 million neural network parameters and advanced digital signal processing. All this in order to use the power of AI to improve the lives of millions of people — DJs, producers, vocalists, dancers, karaoke lovers.
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Spleeter is a audio source separation library written in Python (uses Tensorflow). An easy to train source separation model providing already trained state of the art...
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Vocal Remover and Isolation. Separate voice from music out of a song free with powerful AI algorithms.
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