Abstract
Qualitative research often involves the transcription of interviews, a traditionally manual and time-consuming task. Recent advancements have introduced AI-driven transcription technologies, aiming to streamline this process. One such technology is OpenAI's Whisper, an automated speech recognition system capable of transcribing audio in multiple languages. This paper introduces Whisper and provides a guide on its utilization for research transcription. In conclusion, automated transcription of interviews in qualitative research using artificial intelligence is now possible with excellent accuracy and user-friendliness. While Whisper presents a promising solution to the transcription challenges in qualitative research, careful usage and data review are essential.
| Original language | English |
|---|---|
| Journal | Journal of surgery research and practice |
| Volume | 5 |
| Issue number | 2 |
| Pages (from-to) | 1-6 |
| DOIs | |
| Publication status | Published - 24 Jun 2024 |
Fingerprint
Dive into the research topics of 'Automated Transcription of Interviews in Qualitative Research Using Artificial Intelligence: A Simple Guide'. Together they form a unique fingerprint.Cite this
- APA
- Standard
- Harvard
- Vancouver
- Author
- BIBTEX
- RIS