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Nina Markl
Nina Markl
Research Fellow, University of Essex
Dirección de correo verificada de essex.ac.uk - Página principal
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Language variation and algorithmic bias: understanding algorithmic bias in British English automatic speech recognition
N Markl
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022
382022
Context-sensitive evaluation of automatic speech recognition: considering user experience & language variation
N Markl, C Lai
Proceedings of the First Workshop on Bridging Human–Computer Interaction and …, 2021
162021
The Lothian Diary Project: sociolinguistic methods during the COVID-19 lockdown
L Hall-Lew, C Cowie, C Lai, N Markl, SJ McNulty, SJS Liu, C Llewellyn, ...
Linguistics Vanguard 8 (s3), 321-330, 2022
142022
The Lothian Diary Project: Investigating the Impact of the COVID-19 Pandemic on Edinburgh and Lothian Residents
L Hall-Lew, C Cowie, SJ McNulty, N Markl, SJS Liu, C Lai, C Llewellyn, ...
Journal of Open Humanities Data 7, 2021
102021
The Edinburgh International Accents of English Corpus: Towards the Democratization of English ASR
R Sanabria, N Bogoychev, N Markl, A Carmantini, O Klejch, P Bell
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
92023
Language technology practitioners as language managers: arbitrating data bias and predictive bias in ASR
N Markl, SJ McNulty
Proceedings of the Thirteenth Language Resources and Evaluation Conference …, 2022
82022
Mind the data gap (s): Investigating power in speech and language datasets
N Markl
Proceedings of the Second Workshop on Language Technology for Equality …, 2022
62022
Situating Automatic Speech Recognition Development within Communities of Under-heard Language Speakers
T Reitmaier, E Wallington, O Klejch, N Markl, LM Lam-Yee-Mui, J Pearson, ...
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023
32023
Imagining the city in lockdown: Place in the COVID-19 self-recordings of the Lothian Diary Project
C Cowie, L Hall-Lew, Z Elliott, A Klingler, N Markl, SJ McNulty
Frontiers in Artificial Intelligence 5, 945643, 2022
32022
Querent Intent in Multi-Sentence Questions
L Burchell, J Chi, T Hosking, N Markl, B Webber
arXiv preprint arXiv:2010.08980, 2020
22020
Regional and Social Variation in Scottish T-glottaling
L Hall-Lew, N Markl, B Papineau, M Sung
Poster presented at UK Language Variation and Change (UKLVC), 3-5, 2019
22019
Automatic transcription and (de) standardisation
N Markl, E Wallington, O Klejch, T Reitmaier, G Bailey, J Pearson, ...
SIGUL 2023, 2nd Annual Meeting of the Special Interest Group on Under …, 2023
12023
Everyone has an accent
N Markl, C Lai
Interspeech 2023, 2023
12023
(Commercial) Automatic Speech Recognition as a Tool in Sociolinguistic Research
N Markl
University of Pennsylvania Working Papers in Linguistics 28 (2), 11, 2022
12022
Language variation, automatic speech recognition and algorithmic bias
N Markl
The University of Edinburgh, 2023
2023
Variation in the Scottish BIT vowel: Comparing two corpora
L Hall-Lew, ZE Slosarova, J Göbel, C Cowie, N Markl
20th International Conference of Phonetic Sciences (ICPhS), 2023
2023
“I can't see myself ever living any [w] ere else”: Variation in (HW) in Edinburgh English
N Markl
Language Variation and Change 35 (1), 79-105, 2023
2023
Voices of lockdown: Using self-recorded lockdown diaries to investigate phonetic change in Edinburgh and the Lothians
N Markl, L Hall-Lew, C Cowie, C Lai, S Joseph McNulty
The Journal of the Acoustical Society of America 149 (4), A111-A111, 2021
2021
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Artículos 1–18