Showing 12 open source projects for "algorithmic music composition"

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  • 1
    MuseGAN

    MuseGAN

    An AI for Music Generation

    MuseGAN is a deep learning research project designed to generate symbolic music using generative adversarial networks. The system focuses specifically on generating multi-track polyphonic music, meaning that it can simultaneously produce multiple instrument parts such as drums, bass, piano, guitar, and strings. Instead of generating raw audio, the model operates on piano-roll representations of music, which encode notes as time-pitch matrices for each instrument track. This representation...
    Downloads: 5 This Week
    Last Update:
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  • 2
    YuE

    YuE

    Open source AI model for generating full songs from lyrics prompts

    YuE is an open source project that provides a foundation model designed for full-song music generation using artificial intelligence. It focuses on transforming text inputs such as lyrics and genre prompts into complete musical compositions that include both vocal and instrumental tracks. Unlike many shorter audio generators, the model is capable of producing songs that last several minutes while maintaining coherent musical structure and alignment with the provided lyrics. YuE introduces a...
    Downloads: 4 This Week
    Last Update:
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  • 3
    htmid

    htmid

    Generative Music For Beginners and Everyone Else

    Generative music is a fascinating and innovative approach to music creation that involves creating procedurally generated music that evolves and changes over time. Whether you're a beginner or a seasoned musician, this guide will introduce you to the world of generative music and show you how to create your own live music performances. Generative music is music that is ever-changing and created in real-time. It can be created by anyone, with or without musical experience. Learn how to...
    Downloads: 2 This Week
    Last Update:
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  • 4

    DuranDuranbot

    Teachable/trainable artificially intelligent music bot

    A teachable/trainable artificially intelligent music bot fundamentally inspired by how the new wave band Duran Duran composes music. This program utilizes many algorithmic/AI techniques/processes, including machine learning; which allow you to teach/train it to compose music which you prefer... and the technique which is the foundation of the design of DuranDuranbot, which was directly inspired by how Duran Duran writes music........
    Downloads: 0 This Week
    Last Update:
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  • 5
    Piano transcription

    Piano transcription

    Task of transcribing piano recordings into MIDI files

    Piano transcription is an open-source high-resolution piano transcription system by ByteDance that converts raw audio recordings of piano performance into symbolic MIDI files — detecting note onsets, offsets, pitch, velocity, and even pedal usage. The system is implemented in Python (PyTorch) and is capable of accurate transcription of polyphonic piano recordings, even with complex passages and pedal techniques, making it suitable for classical piano music. By using this transcription tool,...
    Downloads: 2 This Week
    Last Update:
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  • 6
    GiantMIDI-Piano

    GiantMIDI-Piano

    Classical piano MIDI dataset

    GiantMIDI-Piano is a large-scale symbolic classical piano music dataset built by applying the piano_transcription system on a vast collection of piano performance recordings. The dataset contains thousands of piano works, spanning a large number of composers and styles, with each piece transcribed into high-precision MIDI files capturing note events, pedal usage, velocities, etc. It provides a resource for music information retrieval (MIR), symbolic music modeling, composer classification, music generation, analysis of classical piano repertoire, and data-driven research in musicology or AI-based composition.
    Downloads: 2 This Week
    Last Update:
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  • 7

    PartWriter

    A project designed to write sheet music.

    The project is composed of two layers. The first layer is an artificial intelligence engine, partwriter, that writes music based on some heuristic. The second layer is the layer that defines the heuristic. The definition of this heuristic defines the type of music that partwriter will create. Currently (December 2012), the deepest layer is more or less complete. The author is now writing second layers of interest, namely species counterpoint heuristics according to Fux's Gradus Ad Parnassum.
    Downloads: 0 This Week
    Last Update:
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  • 8
    DJDarwin

    DJDarwin

    A Genetic algorithm approach to creating beats.

    The program puts beats through evolution - survival, mutations, reproduction. The purpose, in the words of Africa Bambaataa - Looking for the perfect beat. Using a genetic­ algorithmic framework, the user's taste defines a Beat fitness function - she decides which beats survive and breed, and which join the choir invisible. In addition, the user can easily define an automatic fitness function, put the program on 'auto­pilot' mode, and let it speed up evolution. Different types of...
    Downloads: 1 This Week
    Last Update:
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  • 9
    Diglo is a Music Information Retrieval System based on Computer Vision and Audio Spectrum Analysis, using algorithmic operations to find emergent patterns in musical performance. Also it functions as a low-cost Motion Capture Analysis system.
    Downloads: 0 This Week
    Last Update:
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  • 10
    GRAMophone is an algorithmic generator of music composition. The music is generated using two kinds of formal grammar: Chomsky’s grammar for TOP DOWN approach to the composition and a reduced version of Lindenmayer grammar for BOTTOM UP approach.
    Downloads: 1 This Week
    Last Update:
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  • 11
    BlueJam is a Java-based algorithmic music composer that uses evolutionary techniques and heuristics. Originally intended to evolve solos on the blues scale. BlueJam interfaces with Pure-Data to give real-time output.
    Downloads: 0 This Week
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  • 12
    Evomusic deals with automatic composition of music (midi-files) using evolutionary algorithms. Currently we are testing multiple approaches for doing this successfully, especially neural networks and/or algorithms based on simple music theory.
    Downloads: 0 This Week
    Last Update:
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