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Martijn Bartelds

5 accepted papers

2026

CTC-DRO: Robust Optimization for Reducing Language Disparities in Speech Recognition

Martijn Bartelds, Ananjan Nandi, Moussa Koulako Bala Doumbouya, Dan Jurafsky, Tatsunori Hashimoto, Karen Livescu
ICLR 2026poster

Modern deep learning models often achieve high overall performance, but consistently fail on specific subgroups. Group distributionally robust optimization (group DRO) addresses this problem by minimizing the worst-group loss, but it fails when group losses misrepresent performance differences betwe…

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2025

Constructing Datasets From Public Police Body Camera Footage

Jamie Rosas-Smith, Martijn Bartelds, Ruizhe Huang, Leibny Paola García-Perera, Karen Livescu, Dan Jurafsky +1
ICASSP 2025accepted

The enormous potential of body-worn cameras to improve accountability in policing remains largely unrealized due to large volumes of unreviewed footage. Transcription and diarization tools could aid in reviewing footage, but lack of public data hinders their development. We develop a pipeline to con…

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2025

False Friends Are Not Foes: Investigating Vocabulary Overlap in Multilingual Language Models

Julie Kallini, Dan Jurafsky, Christopher Potts, Martijn Bartelds
EMNLP 2025

Subword tokenizers trained on multilingual corpora naturally produce overlapping tokens across languages. Does token overlap facilitate cross-lingual transfer or instead introduce interference between languages? Prior work offers mixed evidence, partly due to varied setups and confounders, such as t

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2023

Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Augmentation

Martijn Bartelds, Nay San, Bradley McDonnell, Dan Jurafsky, Martijn Wieling
ACL 2023long

The performance of automatic speech recognition (ASR) systems has advanced substantially in recent years, particularly for languages for which a large amount of transcribed speech is available. Unfortunately, for low-resource languages, such as minority languages, regional languages or dialects, ASR…

Cited by 48Source ↗PDF ↗code ↗Scholar ↗