Musenet (OpenAI)

Tags
Pricing model
Price Unknown / Product Not Launched Yet
Upvote 0
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:

Free
Upvote 0
0
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.
Paid
Upvote 0
0
Voicestars is a digital platform enabling users to generate AI renditions of popular songs by choosing an AI voice and uploading their tracks. It also provides artist-licensed voice models for commercial purposes and includes an affiliate program for users to earn commissions.
Paid
Upvote 0
0
Orb Producer Suite 3 consists of four AI-driven plugins: Chords, Melody, Bass, and Arpeggios. These tools offer users endless music patterns and chord progressions, alongside numerous presets, AI features, and various tonalities and keys. The suite works with most DAWs.