Showing 4 open source projects for "audio converter java"

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  • 1
    Basic Pitch

    Basic Pitch

    A lightweight audio-to-MIDI converter with pitch bend detection

    Basic Pitch is a Python library for Automatic Music Transcription (AMT), using lightweight neural network developed by Spotify's Audio Intelligence Lab. It's small, easy-to-use, pip install-able and npm install-able via its sibling repo. Basic Pitch may be simple, but it's is far from "basic"! basic-pitch is efficient and easy to use, and its multi pitch support, its ability to generalize across instruments, and its note accuracy compete with much larger and more resource-hungry AMT systems....
    Downloads: 26 This Week
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  • 2
    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 heuristic error error checkers, mining metadata and analyzing metadata.
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    Downloads: 63 This Week
    Last Update:
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  • 3

    Bermuda Text-to-Speech

    This project includes basic NLP and DSP techniques for Text-to-Speech

    See TTS demo at: http://rslp.racai.ro/index.php?page=tts This is an entirely written in JAVA project which includes a set of tools and methods designed to enable Multilingual Text-to-Speech (TTS) synthesis. We currently support English and Romanian but we will soon train more models and make them available for download. If you want to read more about our other NLP and TTS tools check out http://nlptools.racai.ro.
    Downloads: 0 This Week
    Last Update:
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  • 4
    RBM-provisor
    An experimental unsupervised learning method for improvising jazz melodies, based on restricted Boltzmann machines (RBMs) layered into Deep Belief Networks (forms of neural networks).
    Downloads: 0 This Week
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