A CLARIN Transcription Portal for Interview Data

Christoph Draxler, Henk van den Heuvel, Arjan van Hessen, Silvia Calamai, Louise Corti


Abstract
In this paper we present a first version of a transcription portal for audio files based on automatic speech recognition (ASR) in various languages. The portal is implemented in the CLARIN resources research network and intended for use by non-technical scholars. We explain the background and interdisciplinary nature of interview data, the perks and quirks of using ASR for transcribing the audio in a research context, the dos and don’ts for optimal use of the portal, and future developments foreseen. The portal is promoted in a range of workshops, but there are a number of challenges that have to be met. These challenges concern privacy issues, ASR quality, and cost, amongst others.
Anthology ID:
2020.lrec-1.411
Volume:
Proceedings of the Twelfth Language Resources and Evaluation Conference
Month:
May
Year:
2020
Address:
Marseille, France
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
3353–3359
Language:
English
URL:
https://aclanthology.org/2020.lrec-1.411
DOI:
Bibkey:
Cite (ACL):
Christoph Draxler, Henk van den Heuvel, Arjan van Hessen, Silvia Calamai, and Louise Corti. 2020. A CLARIN Transcription Portal for Interview Data. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 3353–3359, Marseille, France. European Language Resources Association.
Cite (Informal):
A CLARIN Transcription Portal for Interview Data (Draxler et al., LREC 2020)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-2/2020.lrec-1.411.pdf