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anzar edited this page Mar 27, 2024
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OpenWillis is a python library for digital health measurement.
It was developed by Brooklyn Health to establish standardized methods in digital phenotyping and make them open and accessible to the scientific community.
It is freely available for non-commercial use (see license).
Please report any issues using the Issues tab.
If you’d like to contribute to OpenWillis or have general questions, please get in touch.
OpenWillis was developed by a small team of clinicians, scientists, and engineers based in Brooklyn, NY.
- Release notes
- Getting started
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List of functions
- Video Preprocessing for Faces v1.0
- Video Cropping v1.0
- Facial Expressivity v2.0
- Emotional Expressivity v2.0
- Eye Blink Rate v1.0
- Speech Transcription with Vosk v1.0
- Speech Transcription with Whisper v1.0
- Speech Transcription with AWS v1.0
- WillisDiarize v1.0
- WillisDiarize with AWS v1.0
- Speaker Separation with Labels v1.1
- Speaker Separation without Labels v1.1
- Audio Preprocessing v1.0
- Speech Characteristics v3.2
- Vocal Acoustics v2.1
- Phonation Acoustics v1.0
- GPS Analysis v1.0
- Research guidelines