A CLARIN transcription portal for interview data

Christoph Draxler; Henk van den Heuvel; Arjan van Hessen; Silvia Calamai; Louise Corti; Stefania Scagliola

A CLARIN transcription portal for interview data

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

9 Citations (Scopus)

22 Downloads (Pure)

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.

Original language	English
Title of host publication	LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings
Editors	Nicoletta Calzolari, Frederic Bechet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Publisher	European Language Resources Association (ELRA)
Pages	3353-3359
Number of pages	7
ISBN (Electronic)	9791095546344
Publication status	Published - May 2020
Event	12th International Conference on Language Resources and Evaluation, LREC 2020 - Marseille, France Duration: 11 May 2020 → 16 May 2020 Conference number: 12

Conference

Conference	12th International Conference on Language Resources and Evaluation, LREC 2020
Abbreviated title	LREC 2020
Country/Territory	France
City	Marseille
Period	11/05/20 → 16/05/20

Keywords

Automatic speech recognition
Digital humanities
Interviews
Research infrastructure
Social sciences

Access to Document

2020.lrec-1.411Final published version, 518 KBLicence: CC BY-NC

https://aclanthology.org/2020.lrec-1.411Licence: CC BY-NC

Cite this

Draxler, C., van den Heuvel, H., van Hessen, A., Calamai, S., Corti, L., & Scagliola, S. (2020). A CLARIN transcription portal for interview data. In N. Calzolari, F. Bechet, P. Blache, K. Choukri, C. Cieri, T. Declerck, S. Goggi, H. Isahara, B. Maegaard, J. Mariani, H. Mazo, A. Moreno, J. Odijk, & S. Piperidis (Eds.), LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings (pp. 3353-3359). European Language Resources Association (ELRA). https://aclanthology.org/2020.lrec-1.411

Draxler, Christoph ; van den Heuvel, Henk ; van Hessen, Arjan et al. / A CLARIN transcription portal for interview data. LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings. editor / Nicoletta Calzolari ; Frederic Bechet ; Philippe Blache ; Khalid Choukri ; Christopher Cieri ; Thierry Declerck ; Sara Goggi ; Hitoshi Isahara ; Bente Maegaard ; Joseph Mariani ; Helene Mazo ; Asuncion Moreno ; Jan Odijk ; Stelios Piperidis. European Language Resources Association (ELRA), 2020. pp. 3353-3359

@inproceedings{f9e6c07df11046df8d01564da3f8fd7d,

title = "A CLARIN transcription portal for interview data",

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.",

keywords = "Automatic speech recognition, Digital humanities, Interviews, Research infrastructure, Social sciences",

author = "Christoph Draxler and {van den Heuvel}, Henk and {van Hessen}, Arjan and Silvia Calamai and Louise Corti and Stefania Scagliola",

note = "Publisher Copyright: {\textcopyright} European Language Resources Association (ELRA), licensed under CC-BY-NC; 12th International Conference on Language Resources and Evaluation, LREC 2020, LREC 2020 ; Conference date: 11-05-2020 Through 16-05-2020",

year = "2020",

month = may,

language = "English",

pages = "3353--3359",

editor = "Nicoletta Calzolari and Frederic Bechet and Philippe Blache and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Helene Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis",

booktitle = "LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings",

publisher = "European Language Resources Association (ELRA)",

}

Draxler, C, van den Heuvel, H, van Hessen, A, Calamai, S, Corti, L & Scagliola, S 2020, A CLARIN transcription portal for interview data. in N Calzolari, F Bechet, P Blache, K Choukri, C Cieri, T Declerck, S Goggi, H Isahara, B Maegaard, J Mariani, H Mazo, A Moreno, J Odijk & S Piperidis (eds), LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings. European Language Resources Association (ELRA), pp. 3353-3359, 12th International Conference on Language Resources and Evaluation, LREC 2020, Marseille, France, 11/05/20. <https://aclanthology.org/2020.lrec-1.411>

A CLARIN transcription portal for interview data. / Draxler, Christoph; van den Heuvel, Henk; van Hessen, Arjan et al.
LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings. ed. / Nicoletta Calzolari; Frederic Bechet; Philippe Blache; Khalid Choukri; Christopher Cieri; Thierry Declerck; Sara Goggi; Hitoshi Isahara; Bente Maegaard; Joseph Mariani; Helene Mazo; Asuncion Moreno; Jan Odijk; Stelios Piperidis. European Language Resources Association (ELRA), 2020. p. 3353-3359.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - A CLARIN transcription portal for interview data

AU - Draxler, Christoph

AU - van den Heuvel, Henk

AU - van Hessen, Arjan

AU - Calamai, Silvia

AU - Corti, Louise

AU - Scagliola, Stefania

N1 - Conference code: 12

PY - 2020/5

Y1 - 2020/5

N2 - 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.

AB - 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.

KW - Automatic speech recognition

KW - Digital humanities

KW - Interviews

KW - Research infrastructure

KW - Social sciences

UR - http://www.scopus.com/inward/record.url?scp=85096534535&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85096534535

SP - 3353

EP - 3359

BT - LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings

A2 - Calzolari, Nicoletta

A2 - Bechet, Frederic

A2 - Blache, Philippe

A2 - Choukri, Khalid

A2 - Cieri, Christopher

A2 - Declerck, Thierry

A2 - Goggi, Sara

A2 - Isahara, Hitoshi

A2 - Maegaard, Bente

A2 - Mariani, Joseph

A2 - Mazo, Helene

A2 - Moreno, Asuncion

A2 - Odijk, Jan

A2 - Piperidis, Stelios

PB - European Language Resources Association (ELRA)

T2 - 12th International Conference on Language Resources and Evaluation, LREC 2020

Y2 - 11 May 2020 through 16 May 2020

ER -

Draxler C, van den Heuvel H, van Hessen A, Calamai S, Corti L, Scagliola S. A CLARIN transcription portal for interview data. In Calzolari N, Bechet F, Blache P, Choukri K, Cieri C, Declerck T, Goggi S, Isahara H, Maegaard B, Mariani J, Mazo H, Moreno A, Odijk J, Piperidis S, editors, LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings. European Language Resources Association (ELRA). 2020. p. 3353-3359

A CLARIN transcription portal for interview data

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this