Building inclusive speech recognition systems is a crucial step towards developing
technologies that speakers of all language varieties can use. Therefore, ASR systems must …

Self-supervised models for speech processing emerged recently as popular foundation
blocks in speech processing pipelines. These models are pre-trained on unlabeled audio …

Despite recent advancements in automated speech recognition (ASR) technologies, reports
of unequal performance across speakers of different demographic groups abound. At the …

In this thesis, I situate the impacts of automatic speech recognition systems in relation to
sociolinguistic theory (in particular drawing on concepts of language variation, language …

The authors analyzed the confeptosphere of public administration from the position of
representation in the Rus-sian language as an area of increased interest from the controlling …

Automatic speech recognition (ASR) systems have been shown to have large quality
disparities between the language varieties they are intended or expected to recognize. One …

Abstract Automatic Speech Recognition (ASR) for high-resource languages like English is
often considered a solved problem. However, most high-resource ASR systems favor …

In the following report we propose pipelines for Goodness of Pronunciation (GoP)
computation solving OOV problem at testing time using Vocab/Lexicon expansion …

This survey presents a comprehensive analysis of speech disfluency, repetition, and
reduplication within the context of Automatic Speech Recognition (ASR) and natural …