.. pyAMPACT documentation master file, created by sphinx-quickstart on Mon Dec 11 12:13:33 2023. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. ************** pyAMPACT ************** `pyAMPACT` (Python-based Automatic Music Performance Analysis and Comparison Toolkit) is a python package that links symbolic and audio music representations to facilitate score-informed estimation of performance data in audio as well as general linking of symbolic and audio music representations with a variety of annotations. pyAMPACT can read a range of symbolic formats and can output note-linked audio descriptors/performance data into MEI and Humdrum kern files. The audio analysis uses score alignment to calculate time-frequency regions of importance for each note in the symbolic representation from which to estimate a range of parameters. These include tuning-, dynamics-, and timbre-related performance descriptors, while timing-related information is available from the score alignment. Beyond performance data estimation, pyAMPACT also facilitates multi-modal investigations through its robust infrastructure for linking symbolic representations and annotations to audio. Welcome to pyAMPACT's documentation! ==================================== .. toctree:: :maxdepth: 1 :caption: Getting Started install .. toctree:: :maxdepth: 1 :caption: Contents: alignment alignmentUtils dataCompilation performance symbolic symbolicUtils Indices and tables ================== * :ref:`genindex` * :ref:`modindex` * :ref:`search`