Showing 7 open source projects for "artificial intelligence java source code"

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  • 1
    jMIR

    jMIR

    Music research software

    jMIR is an open-source software suite implemented in Java for use in music information retrieval (MIR) research. It can be used to study music in the form of audio recordings, symbolic encodings and lyrical transcriptions, and can also mine cultural information from the Internet. It also includes tools for managing and profiling large music collections and for checking audio for production errors. jMIR includes software for extracting features, applying machine learning algorithms, applying...
    Downloads: 4 This Week
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  • 2
    MARF is a general cross-platform framework with a collection of algorithms for audio (voice, speech, and sound) and natural language text analysis and recognition along with sample applications (identification, NLP, etc.) of its use, implemented in Java.
    Downloads: 1 This Week
    Last Update:
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  • 3
    Marsyas (Music Analysis, Retrieval and Synthesis for Audio Signals) is a framework for developing systems for audio processing. It provides an general architecture for connecting audio, soundfiles, signal processing blocks and machine learning. Source code at SF is outdated! Marsyas is now hosted at GitHub: https://github.com/marsyas/marsyas Downloads are now provided at Bintray: https://bintray.com/marsyas
    Downloads: 3 This Week
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  • 4
    Segfried is an audio feature extraction and segmentation utility
    Downloads: 0 This Week
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  • 5
    Instant Bach is a program that uses artificial intelligence to do four-part harmony writing, with or without a user specified progression, according to all the rules of four-part harmony writing, and has the ability to transpose the result into any key.
    Downloads: 0 This Week
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  • 6
    musicomp is a program which most important element is an evolutionary algorithm which uses data mining methods as a fitness function to generate monophone melodies.
    Downloads: 0 This Week
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  • 7
    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
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