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0.1.0

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acousticdistance

implements acoustic distance measures between two audio snippets with a MFCC-features and an ANN-features

Published6 Mar 2025

Direct dependencies5

Transitive dependenciesNot calculated

README

Version 0.1.0 documentation

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Acousticdistance
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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.

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Declared dependencies 5

Native requirements

5 direct targetsNot calculated transitive count

Package / target	Requirement	Relationship
numpy Environment { "extras": "", "marker": null, "requires_python": "<3.13,>=3.9", "evaluation": "NOT_EVALUATED" }	`numpy>=2.1.3`	runtime
dtw-python Environment { "extras": "", "marker": null, "requires_python": "<3.13,>=3.9", "evaluation": "NOT_EVALUATED" }	`dtw-python>=1.5.3`	runtime
librosa Environment { "extras": "", "marker": null, "requires_python": "<3.13,>=3.9", "evaluation": "NOT_EVALUATED" }	`librosa>=0.10.2`	runtime
torch Environment { "extras": "", "marker": null, "requires_python": "<3.13,>=3.9", "evaluation": "NOT_EVALUATED" }	`torch>=2.4.1`	runtime
transformers Environment { "extras": "", "marker": null, "requires_python": "<3.13,>=3.9", "evaluation": "NOT_EVALUATED" }	`transformers>=4.48.1`	runtime