Musenet (OpenAI)
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MuseNet, developed by OpenAI, is a sophisticated neural network capable of creating 4-minute musical pieces using 10 different instruments and blending styles ranging from country to Mozart to the Beatles. It operates with the same versatile unsupervised technology as GPT-2, a vast transformer model designed to forecast the next token in a sequence, applicable to both audio and text. The model learns from MIDI file data and can produce samples in a selected style by beginning with a prompt. It utilizes multiple embeddings, including positional, timing, and structural embeddings, to provide the model with additional context.
Similar neural networks:
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Replicate and MusicGen are tools that enable users to generate music from text through machine learning models. Replicate offers a platform for developing models with minimal coding requirements, whereas MusicGen is a model created by Facebook Research, trained on 20,000 hours of licensed music.
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Utilize filters to discover the specific BPM or genre of music you need. Alternatively, you can click the randomize button to explore random music samples. The AI scouts YouTube for the precise music style you're seeking. Keep in mind that the music may not always be suitable, and some tracks may have copyright restrictions.