Evidence map›Paper›PMID 38553773›Full record

ArticleBMC research notes2024

From voice to ink (Vink): development and assessment of an automated, free-of-charge transcription tool.

Hannah Tolle, Maria Del Mar Castro, Jonas Wachinger, Agrin Zauyani Putri, Dominic Kempf, Claudia M Denkinger, Shannon A McMahon

Erratum issuedAbstract read
In one paragraph

Article in BMC research notes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Hannah TolleDivision of Infectious Diseases and Tropical Medicine, Center of Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany. h.tolle@stud.uni-heidelberg.de.ORCID http://orcid.org/0009-0008-6179-8278
Maria Del Mar CastroDivision of Infectious Diseases and Tropical Medicine, Center of Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-0485-2919
Jonas WachingerHeidelberg Institute of Global Health (HIGH), Heidelberg University Hospital, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-5480-3138
Agrin Zauyani PutriHeidelberg Institute of Global Health (HIGH), Heidelberg University Hospital, Heidelberg, Germany.ORCID http://orcid.org/0009-0008-2095-5556
Dominic KempfScientific Software Center, Heidelberg University, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-6140-2332
Claudia M DenkingerDivision of Infectious Diseases and Tropical Medicine, Center of Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-7216-7067
Shannon A McMahonHeidelberg Institute of Global Health (HIGH), Heidelberg University Hospital, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-8634-9283

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVerbatim transcription of qualitative audio data is a cornerstone of analytic quality and rigor, yet the time and energy required for such transcription can drain resources, delay analysis, and hinder the timely dissemination of qualitative insights. In recent years, software programs have presented a promising mechanism to accelerate transcription, but the broad application of such programs has been constrained due to expensive licensing or "per-minute" fees, data protection concerns, and limited availability of such programs in many languages. In this article, we outline our process of adapting a free, open-source, speech-to-text algorithm (Whisper by OpenAI) into a usable and accessible tool for qualitative transcription. Our program, which we have dubbed "Vink" for voice to ink, is available under a permissive open-source license (and thus free of cost).

resultsWe conducted a proof-of-principle assessment of Vink's performance in transcribing authentic interview audio data in 14 languages. A majority of pilot-testers evaluated the software performance positively and indicated that they were likely to use the tool in their future research. Our usability assessment indicates that Vink is easy-to-use, and we performed further refinements based on pilot-tester feedback to increase user-friendliness.

conclusionWith Vink, we hope to contribute to facilitating rigorous qualitative research processes globally by reducing time and costs associated with transcription and by expanding free-of-cost transcription software availability to more languages. With Vink running on standalone computers, data privacy issues arising within many other solutions do not apply.

Indexed as

InkUser-Computer InterfaceSoftwareSpeechAutomated speech recognitionInterviewQualitative researchSpeech-to-text algorithmTranscriptionVinkWhisper

Identifiers

PMID38553773
PMCPMC10981346

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.