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20242026
most citedGWQ: Gradient-Aware Weight Quantization for Large Language Models

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cs.CL2025

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…

cs.CL2025

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…

cs.CL2025

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…

cs.CL2025

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…

cs.CL2025

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…