8 papers
"This Wasn't Made for Me": Recentering User Experience and Emotional Impact in the Evaluation of ASR Bias
Siyu Liang, Alicia Beckford Wassink
Studies on bias in Automatic Speech Recognition (ASR) tend to focus on reporting error rates for speakers of underrepresented dialects, yet less research examines the human side of…
A Sociophonetic Analysis of Racial Bias in Commercial ASR Systems Using the Pacific Northwest English Corpus
Michael Scott, Siyu Liang, Alicia Wassink +1
This paper presents a systematic evaluation of racial bias in four major commercial automatic speech recognition (ASR) systems using the Pacific Northwest English (PNWE) corpus. We…
The Limits of Data Scaling: Sub-token Utilization and Acoustic Saturation in Multilingual ASR
Siyu Liang, Nicolas Ballier, Gina-Anne Levow +1
How much audio is needed to fully observe a multilingual ASR model's learned sub-token inventory across languages, and does data disparity in multilingual pre-training affect how t…
The Tonogenesis Continuum in Tibetan: A Computational Investigation
Siyu Liang, Zhaxi Zerong
Tonogenesis-the historical process by which segmental contrasts evolve into lexical tone-has traditionally been studied through comparative reconstruction and acoustic phonetics. W…
Beyond WER: Probing Whisper's Sub-token Decoder Across Diverse Language Resource Levels
Siyu Liang, Nicolas Ballier, Gina-Anne Levow +1
While large multilingual automatic speech recognition (ASR) models achieve remarkable performance, the internal mechanisms of the end-to-end pipeline, particularly concerning fairn…
Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages
Siyu Liang, Gina-Anne Levow
Automatic Speech Recognition (ASR) has reached impressive accuracy for high-resource languages, yet its utility in linguistic fieldwork remains limited. Recordings collected in fie…