Challenges of releasing audio material for spoken data : The case of the London–Lund Corpus 2
(2021) In Research in Corpus Linguistics 9(1). p.35-62- Abstract
- This article aims to describe key challenges of preparing and releasing audio material for spoken data and to propose solutions to these challenges. We draw on our experience of compiling the new London-Lund Corpus 2 (LLC-2), where transcripts are released together with the audio files. However, making the audio material publicly available required careful consideration of how to, most effectively, 1) align the transcripts with the audio and 2) anonymise personal information in the recordings. First, audio-to-text alignment was solved through the insertion of timestamps in front of speaker turns in the transcription stage, which, as we show in the article, may later be used as a valuable complement to more robust automatic segmentation.... (More)
- This article aims to describe key challenges of preparing and releasing audio material for spoken data and to propose solutions to these challenges. We draw on our experience of compiling the new London-Lund Corpus 2 (LLC-2), where transcripts are released together with the audio files. However, making the audio material publicly available required careful consideration of how to, most effectively, 1) align the transcripts with the audio and 2) anonymise personal information in the recordings. First, audio-to-text alignment was solved through the insertion of timestamps in front of speaker turns in the transcription stage, which, as we show in the article, may later be used as a valuable complement to more robust automatic segmentation. Second, anonymisation was done by means of a Praat script, which replaced all personal information with a sound that made the lexical information incomprehensible but retained the prosodic characteristics. The public release of the LLC-2 audio material is a valuable feature of the corpus that allows users to extend the corpus data relative to their own research interests and, thus, broaden the scope of corpus linguistics. To illustrate this, we present three studies that have successfully used the LLC-2 audio material. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/7f479b4e-f51e-40b3-b705-bb7fd5b029be
- author
- Pöldvere, Nele LU ; Frid, Johan LU ; Johansson, Victoria LU and Paradis, Carita LU
- organization
- publishing date
- 2021
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- audio-to-text alignment, anonymisation, corpus compilation, spoken corpora, prosody, Praat
- in
- Research in Corpus Linguistics
- volume
- 9
- issue
- 1
- pages
- 28 pages
- publisher
- Spanish Association for Corpus Linguistics
- external identifiers
-
- scopus:85114329797
- ISSN
- 2243-4712
- DOI
- 10.32714/ricl.09.01.04
- project
- The London-Lund Corpus 2 of spoken British English (LLC 2)
- language
- English
- LU publication?
- yes
- id
- 7f479b4e-f51e-40b3-b705-bb7fd5b029be
- date added to LUP
- 2021-06-07 16:48:51
- date last changed
- 2023-11-22 15:41:20
@article{7f479b4e-f51e-40b3-b705-bb7fd5b029be, abstract = {{This article aims to describe key challenges of preparing and releasing audio material for spoken data and to propose solutions to these challenges. We draw on our experience of compiling the new London-Lund Corpus 2 (LLC-2), where transcripts are released together with the audio files. However, making the audio material publicly available required careful consideration of how to, most effectively, 1) align the transcripts with the audio and 2) anonymise personal information in the recordings. First, audio-to-text alignment was solved through the insertion of timestamps in front of speaker turns in the transcription stage, which, as we show in the article, may later be used as a valuable complement to more robust automatic segmentation. Second, anonymisation was done by means of a Praat script, which replaced all personal information with a sound that made the lexical information incomprehensible but retained the prosodic characteristics. The public release of the LLC-2 audio material is a valuable feature of the corpus that allows users to extend the corpus data relative to their own research interests and, thus, broaden the scope of corpus linguistics. To illustrate this, we present three studies that have successfully used the LLC-2 audio material.}}, author = {{Pöldvere, Nele and Frid, Johan and Johansson, Victoria and Paradis, Carita}}, issn = {{2243-4712}}, keywords = {{audio-to-text alignment; anonymisation; corpus compilation; spoken corpora; prosody; Praat}}, language = {{eng}}, number = {{1}}, pages = {{35--62}}, publisher = {{Spanish Association for Corpus Linguistics}}, series = {{Research in Corpus Linguistics}}, title = {{Challenges of releasing audio material for spoken data : The case of the London–Lund Corpus 2}}, url = {{http://dx.doi.org/10.32714/ricl.09.01.04}}, doi = {{10.32714/ricl.09.01.04}}, volume = {{9}}, year = {{2021}}, }