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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eMastered is a web-based mastering tool that leverages artificial intelligence to aid musicians in enhancing their track's audio quality. It offers a variety of capabilities, including Reference Mastering, Advanced Mastering Options, Cloud Storage, a Shareable Library Page, Track Statistics, among others. Additionally, it provides a 14-day money-back guarantee, ensuring an affordable and dependable solution for fast and simple track mastering.
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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.