Metadata-Version: 2.3
Name: acousticdistance
Version: 0.1.0
Summary: implements acoustic distance measures between two audio snippets with a MFCC-features and an ANN-features
License: GPLv3+
Author: Konstantin Sering
Author-email: konstantin.sering@uni-tuebingen.de
Requires-Python: >=3.9,<3.13
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: Other/Proprietary License
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Requires-Dist: dtw-python (>=1.5.3)
Requires-Dist: librosa (>=0.10.2)
Requires-Dist: numpy (>=2.1.3)
Requires-Dist: torch (>=2.4.1)
Requires-Dist: transformers (>=4.48.1)
Project-URL: Repository, https://github.com/quantling/acousticdistance
Description-Content-Type: text/x-rst

================
Acousticdistance
================

At the moment this is supplementary material for the presentation of "Phonetic
distances in L3-speech" of the ESSV2025 (https://www.essv.de/essv2025/).

This is a loose reimplementation of the ideas in 

https://github.com/Bartelds/neural-acoustic-distance

and

https://github.com/Bartelds/acoustic-distance-measure

as a python module with a minimal set of additional software needed.

Furthermore, it includes all the additional scripts to re-run the distance
calculations and the data analysis.

Due to privacy reasons the data is not included in the repository.


