Voice-recognition software is designed to be used by one user (voice) at a time, requiring a researcher to speak all of the words of a recorded interview to achieve transcription. Thus, the researcher becomes a conduit through which interview material is inscribed as written word. Embodied Transcription acknowledges performative and interpretative aspects of interview and transcription processes and explores the efficacy of utilizing the researcher's body as an epistemological tool. Influenced by performance art, feminism and postmodernism, the iterative cycles of Embodied Transcription include processes of vocalization and resonation which may foster "knowing in the body," and serve to enrich and deepen the researcher's understanding of collected data. Potential pitfalls such as projection and technology failures are addressed.


Transcription, Voice-Recognition Software, Qualitative Data, Data Preparation, Embodiment

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Creative Commons Attribution-Noncommercial 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 International License.




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