The mbari-pbp package allows to
process ocean audio data archives to daily analysis products of hybrid millidecade spectra using
PyPAM.
Status: Functional version, including support for cloud based processing.
- JSON generation of timekeeping with indication of start and duration of recognized sound files
- Audio file processing
- Frequency and psd array output
- Concatenation of processed 1-minute segments for daily product
- Calibration with given sensitivity file (NetCDF), or flat sensitivity value
- Data products
- NetCDF with metadata
- Summary plot
- Cloud processing
- Inputs can be downloaded from and uploaded to S3
- Inputs can be downloaded from public GCS bucket
- Outputs can be uploaded to GCS
TODO more details
The only requirement is Python 3.9, 3.10, or 3.11 on your environment.1
You can run python3 --version to check the version of Python installed.
As a general practice, it is recommended to use a virtual environment for the installation.
python3.9 -m venv virtenv
source virtenv/bin/activateInstall the package:
pip install mbari-pbpThe package includes the following CLI programs:
| Program | Description |
|---|---|
pbp-json-gen |
Generate JSON files with audio metadata. |
pbp |
Main HMB generation program. |
pbp-cloud |
Program for cloud based processing. |
pbp-plot |
Utility program to plot resulting HMB product. |
- PyPAM - Python tool for Passive Acoustic Monitoring – https://doi.org/10.5281/zenodo.6044593
- Computation of single-sided mean-square sound pressure spectral density with 1 Hz resolution follows ISO 18405 3.1.3.13 (International Standard ISO 18405:2017(E), Underwater Acoustics – Terminology. Geneva: ISO) – https://www.iso.org/standard/62406.html
- Hybrid millidecade spectra: A practical format for exchange of long-term ambient sound data – https://asa.scitation.org/doi/10.1121/10.0003324
- Erratum: Hybrid millidecade spectra – https://asa.scitation.org/doi/10.1121/10.0005818
See DEVELOPMENT.md for details.
Footnotes
-
As currently required by PyPAM. ↩