Improving Cross-domain Authorship Attribution by Combining Lexical and Syntactic Features. - Martijn Bartelds; Wietse de Vries (CLEF (Working Notes), 2019)

Neural Representations for Modeling Variation in English Speech. - Martijn Bartelds; Wietse de Vries; Faraz Sanal; Caitlin Richter; Mark Y. Liberman; Martijn Wieling 001 (CoRR, 2020)

A New Acoustic-Based Pronunciation Distance Measure. - Martijn Bartelds; Caitlin Richter; Mark Y. Liberman; Martijn Wieling 001 (Frontiers Artif. Intell., 2020)

Adapting Monolingual Models: Data can be Scarce when Language Similarity is High. - Wietse de Vries; Martijn Bartelds; Malvina Nissim; Martijn Wieling 001 (ACL/IJCNLP (Findings), 2021)

Leveraging Pre-Trained Representations to Improve Access to Untranscribed Speech from Endangered Languages. - Nay San; Martijn Bartelds; Mitchell Browne; Lily Clifford; Fiona Gibson; John Mansfield; David Nash 002; Jane Simpson; Myfany Turpin; Maria Vollmer; Sasha Wilmoth; Dan Jurafsky (ASRU, 2021)

Leveraging neural representations for facilitating access to untranscribed speech from endangered languages. - Nay San; Martijn Bartelds; Mitchell Browne; Lily Clifford; Fiona Gibson; John Mansfield; David Nash 002; Jane Simpson; Myfany Turpin; Maria Vollmer; Sasha Wilmoth; Dan Jurafsky (CoRR, 2021)

Quantifying Language Variation Acoustically with Few Resources. - Martijn Bartelds; Martijn Wieling 001 (NAACL-HLT, 2022)

Automated speech tools for helping communities process restricted-access corpora for language revival efforts. - Nay San; Martijn Bartelds; Tolúlopé Ògúnrèmí; Alison Mount; Ruben Thompson; Michael Higgins; Roy Barker; Jane Simpson; Dan Jurafsky (CoRR, 2022)

Neural representations for modeling variation in speech. - Martijn Bartelds; Wietse de Vries; Faraz Sanal; Caitlin Richter; Mark Y. Liberman; Martijn Wieling 001 (J. Phonetics, 2022)

Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Augmentation. - Martijn Bartelds; Nay San; Bradley McDonnell; Dan Jurafsky; Martijn Wieling 001 (ACL (1), 2023)

Leveraging supplementary text data to kick-start automatic speech recognition system development with limited transcriptions. - Nay San; Martijn Bartelds; Blaine Billings; Ella de Falco; Hendi Feriza; Johan Safri; Wawan Sahrozi; Ben Foley; Bradley McDonnell; Dan Jurafsky (CoRR, 2023)

ML-SUPERB 2.0: Benchmarking Multilingual Speech Models Across Modeling Constraints, Languages, and Datasets. - Jiatong Shi; Shih-Heng Wang; William Chen; Martijn Bartelds; Vanya Bannihatti Kumar; Jinchuan Tian; Xuankai Chang; Dan Jurafsky; Karen Livescu; Hung-yi Lee; Shinji Watanabe 001 (INTERSPEECH, 2024)

Constructing Datasets From Public Police Body Camera Footage. - Jamie Rosas-Smith; Martijn Bartelds; Ruizhe Huang; Leibny Paola García-Perera; Karen Livescu; Dan Jurafsky; Anjalie Field (ICASSP, 2025)

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 (CoRR, 2025)

BLAB: Brutally Long Audio Bench. - Orevaoghene Ahia; Martijn Bartelds; Kabir Ahuja; Hila Gonen; Valentin Hofmann; Siddhant Arora; Shuyue Stella Li; Vishal Puttagunta; Mofetoluwa Adeyemi; Charishma Buchireddy; Ben Walls; Noah Bennett; et al. (CoRR, 2025)