Transcribing interview data is a time-consuming task that most qualitative researchers dislike. Transcribing is even more difficult for people with physical limitations because traditional transcribing requires manual dexterity and the ability to sit at a computer for long stretches of time. Researchers have begun to explore using an automated transcription process using digital recordings and voice recognition software (VRS). While VRS has improved in recent years, it is not yet available to the general public in a format that can recognize more than one recorded voice. This article outlines a strategy used to circumvent this problem and improve the speed and ease of transcription. The equipment and the Voice Transcription Technique used are outlined, as well as suggestions for future technological advances in transcription.
Transcription, Voice-Recognition Software, Qualitative Data, and Data Preparation
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 License.
Recommended APA Citation
Matheson, J. L. (2007). The Voice Transcription Technique: Use of Voice Recognition Software to Transcribe Digital Interview Data in Qualitative Research . The Qualitative Report, 12(4), 547-560. Retrieved from https://nsuworks.nova.edu/tqr/vol12/iss4/1