Skip to main content

soundevent is an open-source Python package for the computational biocoustic community, providing standardized tools for sound event analysis and data management.

Project description

soundevent

License: MIT PyPI version tests docs Python 3.8 + Static Badge codecov

Warning This package is under active development, use with caution.

soundevent is an open-source Python package that aims to support the computational biocoustic community in developing well-tested, coherent, and standardized software tools for bioacoustic analysis. The main goal of the package is to provide a flexible yet consistent definition of what a sound event is in a computational sense, along with a set of tools to easily work with this definition. The package comprises three key components:

Main features

1. Data Classes for Bioacoustic Analysis

The soundevent package defines several data classes that conceptualize and standardize different recurrent objects in bioacoustic analysis. These data classes establish the relationships between various concepts and specify the attributes each object possesses. They are designed to be flexible enough to cover a wide range of use cases in bioacoustic analysis. The package also includes data validation mechanisms to ensure that the information stored is valid and meaningful. Specifically, it defines objects related to sound events, such as user annotations and model predictions.

2. Serialization, Storage, and Reading Functions

To promote standardized data formats for storing annotated datasets and other information about sounds in recordings, the soundevent package provides several functions for serialization, storage, and reading of the different data classes offered. These functions enable easy sharing of information about common objects in bioacoustic research. By employing a consistent data format, researchers can exchange data more efficiently and collaborate seamlessly.

3. Handling Functions for Sound Events

The soundevent package also includes a variety of functions that facilitate the handling of sound event objects. These functions serve multiple purposes, such as matching sound events for model prediction evaluation, transforming sound events, and managing metadata and labels. By offering a comprehensive set of handling functions, the package aims to streamline the analysis workflow for bioacoustic researchers, providing them with powerful tools to manipulate and extract insights from their data.

Installation

You can install soundevent using pip:

pip install soundevent

Documentation

For detailed information on how to use the package, please refer to the documentation.

Example Usage

To see practical examples of how to use soundevent, you can explore the collection of examples provided in the documentation's gallery.

Contributing

We welcome contributions from the community to make soundevent even better. If you would like to contribute, please refer to the contribution guidelines.

License

soundevent is released under the MIT License.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

soundevent-0.7.0.tar.gz (2.9 MB view details)

Uploaded Source

Built Distribution

soundevent-0.7.0-py3-none-any.whl (57.6 kB view details)

Uploaded Python 3

File details

Details for the file soundevent-0.7.0.tar.gz.

File metadata

  • Download URL: soundevent-0.7.0.tar.gz
  • Upload date:
  • Size: 2.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for soundevent-0.7.0.tar.gz
Algorithm Hash digest
SHA256 56c1bfdb82519d79e75d2f53c32eec897810bf41816dca4d1022946f0ebbab4c
MD5 b857107c3b882a71ab442a67ed13e633
BLAKE2b-256 a810e09d4c2b49c0459115f5e3883fa11006ddce085f84191ca8ed0f174df911

See more details on using hashes here.

File details

Details for the file soundevent-0.7.0-py3-none-any.whl.

File metadata

  • Download URL: soundevent-0.7.0-py3-none-any.whl
  • Upload date:
  • Size: 57.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for soundevent-0.7.0-py3-none-any.whl
Algorithm Hash digest
SHA256 431e788ea4e7c3dee67848eb6e189d04df7f45ab710b8607c68f3bb04b8fc7c4
MD5 b18eb7269d3c7f4dc93b8ba663648aad
BLAKE2b-256 834f67733a32b63c98cde0a66f58a77d6d686f106b3255dce2ca77a6e56c0f13

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page