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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Audioatlas™ is a tool offered by Matchtune that assists users in discovering the most suitable music from a worldwide library of over 200 million tracks. It utilizes cookies to enhance and optimize user interaction.
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Vocal Remover is a complimentary online tool that assists users in extracting vocals from a song to produce a karaoke version. It employs artificial intelligence to distinguish the vocal parts from the instrumental elements. After selecting the song, the processing typically completes in 10 seconds. The user will obtain two tracks: one without vocals and another with the isolated vocals.
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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.