jojojaeger/whisper-streamlit

this master thesis project is based on OpenAI Whisper with the goal to transcibe interviews

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Emerging

Transcribe audio recordings of interviews, particularly sensitive clinical ones, into nicely formatted text. You upload one or more audio files, and it generates a detailed transcript, including pause detection and word confidence scores. This tool is for researchers, clinicians, or anyone needing accurate, private transcription of spoken audio.

No commits in the last 6 months.

Use this if you need to transcribe interviews, especially in a clinical or research setting, and require a high degree of data privacy.

Not ideal if you need real-time transcription, speaker identification, or prefer a cloud-based service for convenience.

clinical-research interview-transcription qualitative-analysis audio-processing data-privacy
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 19 / 25

How are scores calculated?

Stars

48

Forks

19

Language

Python

License

Last pushed

Aug 06, 2024

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/jojojaeger/whisper-streamlit"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.