ecosound 0.0.32

Python toolkit for analysing passive acoustic data

Welcome to ecosound!

Ecosound is an open source Python package to facilitate the analysis of passive acoustic data. It includes modules for manual annotation processing and visualization, automatic detection, signal classification, and localization. It heavily relies on libraries such as xarray, pandas, numpy, and scikit-learn. Under the hood it also uses dask, which supports the processing of large data sets that don’t fit into memory and makes processing scalable through distributed computing (on either local clusters or on the cloud). Outputs from ecosound are compatible with popular bioacoustics software such as Raven and PAMlab.

Features

• Annotation — load, filter, merge, and export manual annotations from Raven and PAMlab

• Audio tools — read audio files, apply filters, compute spectrograms

• Detection — plug-in detectors (blob, kurtosis) with a common factory interface

• Classification — apply trained scikit-learn classifiers to acoustic measurements

• Measurements — extract spectral and temporal features from annotated signals

• Evaluation — compute Precision, Recall, and F-score curves for detectors

• Environment — fetch co-located oceanographic, weather, tidal, and AIS data

• Soundscape — process Hybrid Millidecade (HMD) spectral data for long-term soundscape analysis

• Visualization — plot waveforms, spectrograms, annotation heatmaps, and interactive AIS maps

Installation

pip install ecosound

Quick Start

from ecosound.core.annotation import Annotation

# Load annotations from a Raven selection table
annot = Annotation()
annot.from_raven('my_annotations.txt', class_header='Sound type')

# Keep only high-confidence detections
annot.data = annot.data[annot.data['confidence'] >= 0.8]

# Aggregate and visualise
annot.plot_heatmap()

Status

Ecosound is very much a work in progress and is still under heavy development. At this stage, it is recommended to contact the main contributor before using ecosound for your projects.

Documentation

Full API documentation is available at https://ecosound.readthedocs.io.

Contributors

Xavier Mouy (@XavierMouy), Acoustics and Conservation Technology (ACT) Lab, Woods Hole Oceanographic Institution (WHOI).

Support

This project has received funding and support from:

• Woods Hole Oceanographic Institution (WHOI)

• NOAA Fisheries

• Canadian Healthy Oceans Network (CHONe)

• University of Victoria

• Fisheries and Oceans Canada

License

Ecosound is licensed under the open source BSD-3-Clause License.

History

0.0.0 (2020-11-20)

• First release on PyPI.