SUPR
Open Thematic
Dnr:

sens2024022

Type:

NAISS SENS

Principal Investigator:

Elias Faltin

Affiliation:

Uppsala universitet

Start Date:

2024-06-05

End Date:

2025-07-01

Primary Classification:

10208: Language Technology (Computational Linguistics)

Allocation

Abstract

To build a user interface focused on enabling efficient human correction of AI-transcriptions, powered by the open source Whisper model. Currently, the vast majority of interviews done by Swedish researchers include personally identifying information which forces researchers to manually transcribe their interviews. This can take up to 8 hours per hour of recordings. We will host a Whisper Model on BIANCA and connect it to a modern user interface so researchers can upload, transcribe, correct, and in the future even thematically code their interviews with the support of AI models (initially Whisper for transcription. Possibly language models for thematic coding in the future). We aim to cut the time to accurately transcribe an hour of interview down to 30 minutes.