Musenet (OpenAI)
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Pricing model
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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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Neutone Morpho is a real-time tone morphing plugin that utilizes machine learning technology to convert any audio input into novel and distinctive sounds by employing the attributes of pre-trained AI models. Musicians, producers, and sound designers may find Neutone Morpho useful for enhancing their creative workflow, introducing unique audio textures into their projects, or exploring sound design with an innovative tool capable of producing unexpected and inspiring results.
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Riffusion is a groundbreaking music creation platform powered by AI, designed to help users create music from their imagination. Currently in its beta stage, the platform demonstrates its potential through four demo tracks that cover various genres, such as contemporary hip-hop infused with funk, indie pop with atmospheric elements, melodic trap, and French house with techno influences. The San Francisco-based company behind Riffusion is a well-funded startup that is actively enhancing its technology and recruiting musicians, AI researchers, and software engineers to further develop their creative AI tools.
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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.