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Existing Tools for Sound Analysis

soundscape_edited.png

Many programs, both free and paid, already exist to analyze sound data, with more coming out all the time. We have collated an expanding list of programs for users to explore from a single access point. If you know of any we may have missed, please let us know!  

Scroll through the applications or use the filter to search by software type, free or paid, or primary capabilities - Data exploration: general-purpose, bioacoustics software for listening, editing, and producing spectrograms; Soundscape or Sound Clip metrics and parameters (SPL, spectral analysis, etc); Sound Detection (AI, deep learning, event extraction, etc); Sound Classification (unsupervised or supervised clustering); Manual organization, review, and annotation; or Acoustic localization

Number of applications found:

94

Banter

Free

R

Soundscape or sound clip metrics and parameters, Sound Classification

BatClassify

Free

Desktop GUI

Sound Classification

BatDetect

Free

Python

Sound Detection

BatExplorer

Paid

Desktop GUI

Data exploration (listening & visualizing), Sound Classification, Sound Detection, Manual organization review and annotation

BatScope

Free

Desktop GUI

Sound Classification, Manual organization review and annotation

BirdNET

Free

Python

Sound Detection, Sound Classification

BirdVoxDetect BirdVoxClassify

Free

Python, Command line

Data exploration (listening & visualizing), Sound Detection, Sound Classification

CARACAL

Free

Python

Soundscape or sound clip metrics and parameters, Sound Detection, Acoustic localization

CHORUS (Curtin University)

Free

Matlab

Data exploration (listening & visualizing)

CPOD.exe

Free

Desktop GUI

Sound Detection

pre-trained cetacean detectors

DAS

Free

Python

Data exploration (listening & visualizing), Sound Detection, Manual organization review and annotation

DetEdit

Free

Matlab

Data exploration (listening & visualizing), Manual organization review and annotation

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This list has been published at: https://doi.org/10.5281/zenodo.12096525

To cite this effort, please use:

Jarriel, S., Looby, A., Larsen, K., Munger, J., & Parsons, M. (2024). Compilation of existing underwater PAM repositories, libraries, and applications for sound processing [Data set]. Zenodo. https://doi.org/10.5281/zenodo.12096525

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