Project
Oremi Ohunerin
Real-time ambient sound and wake word detection.
165 commits 1 contributor Updated Jul 2026
Overview
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.
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Technology
- Python
- sound detection
- wakeword
Repository information
- Primary language
- Python
- Created
- August 2, 2023
- Last activity
- July 23, 2026
Activity
Daily commits on the default branch, across the whole project history.
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