Musenet (OpenAI)
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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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Synthesizer V is an innovative music creation tool leveraging a deep neural network-based synthesis engine to produce remarkably realistic singing voices. It features customizable AI pitch generation, unlimited tracks, no core restrictions, VST3/AU plugin compatibility, ASIO support for Windows, Jack support for Linux, Cross-Lingual Synthesis, AI Retakes, Isolated Aspiration Output, Vocal Modes, Tone Shift parameter, Microtonal Adjustment, MIDI keyboard support, a metronome, and Lua/Javascript scripting. This appears to be a groundbreaking tool.
(You will need to translate the page from Japanese to your preferred language)
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EVITA is an AI-powered singing coach, voice enthusiast, and performer. It aids users in exploring their repertoire, characters, and musicals by creating personalized vocal exercises and more. Users can find new songs suited to their specific requirements, delve into the psyche of their characters, enhance their voices, craft new lyrics, and utilize effective vocal coaching tools. Additionally, it offers a vocal warmup generator, answers to urgent questions, a database of vocal exercises, song and character analysis, a song finder, a hero's journey, internal monologue creation, songwriting, tongue twisters, a Shakespearean translator, and a summary of lessons with action plans.