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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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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The WhatTheBeat tool enables users to understand the meanings behind their favorite songs by artists like Drake, Eminem, A.R. Rahman, Justin Bieber, Michael Jackson, and Taylor Swift, through the use of artificial intelligence.
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Stable Audio is a tool that allows users to create music with the help of AI. It provides free, professional, and enterprise plans, enabling users to produce and download audio in 44.1 kHz stereo. The professional and enterprise plans allow for commercial use, and users can generate music of custom lengths by simply describing their needs. Additionally, the tool offers a user guide, FAQs, and details about the AI model powering the product.