no code implementations • LTEDI (ACL) 2022 • Nina Markl
Algorithmic oppression is an urgent and persistent problem in speech and language technologies.
no code implementations • EACL (HCINLP) 2021 • Nina Markl, Catherine Lai
Commercial Automatic Speech Recognition (ASR) systems tend to show systemic predictive bias for marginalised speaker/user groups.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • 31 Mar 2023 • Ramon Sanabria, Nikolay Bogoychev, Nina Markl, Andrea Carmantini, Ondrej Klejch, Peter Bell
Although the great many advances in English automatic speech recognition (ASR) over the past decades, results are usually reported based on test datasets which fail to represent the diversity of English as spoken today around the globe.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • LREC 2022 • Nina Markl, Stephen Joseph McNulty
Despite the fact that variation is a fundamental characteristic of natural language, automatic speech recognition systems perform systematically worse on non-standardised and marginalised language varieties.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
1 code implementation • COLING (LAW) 2020 • Laurie Burchell, Jie Chi, Tom Hosking, Nina Markl, Bonnie Webber
Multi-sentence questions (MSQs) are sequences of questions connected by relations which, unlike sequences of standalone questions, need to be answered as a unit.