Metadata-Version: 2.4
Name: oremi-ohunerin
Version: 4.0.0b4
Summary: Real-time ambient sound and wake word detection
Project-URL: Say Thanks!, https://www.buymeacoffee.com/demsking
Project-URL: Source, https://gitlab.com/demsking/oremi-ohunerin
Project-URL: Tracker, https://gitlab.com/demsking/oremi-ohunerin/-/issues
Project-URL: Documentation, https://gitlab.com/demsking/oremi-ohunerin/-/blob/main/README.md
Author-email: Sébastien Demanou <demsking@gmail.com>
License: Apache-2.0
License-File: LICENSE
License-File: LICENSE_HEADER.txt
Keywords: detection,sound,wakeword
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Natural Language :: French
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: <3.12,>=3.11
Requires-Dist: numpy<3.0.0,>=2.2.2
Requires-Dist: oremi-core<3.0.0,>=2.5.3
Requires-Dist: pocketsphinx<6.0.0,>=5.0.4
Requires-Dist: pydantic<3.0.0,>=2.11.1
Requires-Dist: tflite-runtime<3.0.0,>=2.13.0
Requires-Dist: tflite-support<0.5.0,>=0.4.4
Description-Content-Type: text/markdown

# Oremi Ohunerin

[![Buy me a beer](https://img.shields.io/badge/Buy%20me-a%20beer-1f425f.svg)](https://www.buymeacoffee.com/demsking)

Oremi Ohunerin serves as the real-time audio detection component of the Oremi
Personal Assistant project. It operates as a high-performance WebSocket server
capable of concurrently identifying environmental sounds and detecting specific
wake words.

Leveraging cutting-edge technologies like TensorFlow YAMNet for comprehensive
environmental sound classification and PocketSphinx for precise, localized wake
word identification, Ohunerin ensures highly accurate recognition of acoustic
events.

## Documentation

All project documentation—including features, deployment steps, the audio
detection WebSocket protocol details and the complete API Reference can be
found at: https://demsking.gitlab.io/oremi-ohunerin

## License

Licensed under the Apache License, Version 2.0.
