Showing 4 open source projects for "processing"

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  • 1
    Yet Another Audio Feature Extractor is a toolbox for audio analysis. Easy to use and efficient at extracting a large number of audio features simultaneously. WAV and MP3 files supported, or embedding in C++, Python or Matlab applications.
    Downloads: 13 This Week
    Last Update:
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  • 2
    Vibrato Toolbox

    Vibrato Toolbox

    Vibrato Toolbox: Parametric Analysis of Musical Vibrato

    Vibrato Toolbox: Parametric Analysis of Musical Vibrato from High-Precision Magnitude/Frequency Tracking Mingfeng Zhang ECE, Univ. of Rochester Part I Analysis of individual music tones This MATLAB toolbox provides signal analysis tools for time-frequency analysis and for parametric analysis of musical vibrato Part II Analysis of multiple music tones or multiple harmonic partials This toolbox allows you to explore a group of audio files, and obtains its related parameters...
    Downloads: 0 This Week
    Last Update:
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  • 3

    Virtual Sound Level Meter

    Virtual Sound Level Meter for analyzing calibrated sound files

    ...The software implements Fast, Slow, Impulse and LEQ; A, C and Flat Weighting; Ln and Noise Dose analysis; Octave and 1/3 Octave band analysis; high resolution FFT analysis and spectrograms. Band analysis can be made using fast FFT methods or slower, but ANSI standard methods. Source code requires MATLAB + Signal Processing Toolbox. Developed under MATLAB R2010a (but might work with some earlier versions) Executable version does not require MATLAB and runs under Windows XP, Vista, and Windows 7.
    Downloads: 2 This Week
    Last Update:
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  • 4

    CQT-FW

    CQT-FW is an audio analisys tool for multiple pitch recognition

    ...In CQT-FW we have the same frequency resolution as CQT, but with fixed length windows in time, what leads to a constant time resolution as well. And more, time and frequency resolution are not dependent like in CQT end DFT transforms. We also propose a post processing witch eliminate the high order harmonics, leaving only the fundamental frequencies. The transform got good results in a good range of frequencies, but still have problems in low frequencies.
    Downloads: 0 This Week
    Last Update:
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