Nina Markl

Language variation and algorithmic bias: understanding algorithmic bias in British English automatic speech recognition

Nina Markl, Nina Markl, 2022, FAccT.

Mind the data gap(s): Investigating power in speech and language datasets

Nina Markl, 2022, LTEDI.

The Lothian Diary Project: sociolinguistic methods during the COVID-19 lockdown

Beatrice Alex, Catherine Lai, Lauren Hall-Lew, 2022, Linguistics Vanguard.

Context-sensitive evaluation of automatic speech recognition

Catherine Lai, Nina Markl, 2021 .

Imagining the city in lockdown: Place in the COVID-19 self-recordings of the Lothian Diary Project

Lauren Hall-Lew, Claire Cowie, Zuzana Elliott, 2022, Frontiers in Artificial Intelligence.

(Commercial) Automatic Speech Recognition as a Tool in Sociolinguistic Research

Nina Markl, 2022 .

Language technology practitioners as language managers: arbitrating data bias and predictive bias in ASR

Nina Markl, Stephen Mcnulty, 2022, LREC.

Context-sensitive evaluation of automatic speech recognition: considering user experience & language variation

Catherine Lai, Nina Markl, 2021, HCINLP.

The Edinburgh International Accents of English Corpus: Towards the Democratization of English ASR

P. Bell, Nikolay Bogoychev, Ramon Sanabria, 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Variation in the Scottish BIT vowel: Comparing two corpora

Lauren Hall-Lew, Claire Cowie, Zuzana Elliott, 2022 .

Language Technologies as If People Mattered: Centering Communities in Language Technology Development

Nina Markl, Lauren Hall-Lew, Catherine Lai, 2024, LREC.