Martijn Bartelds

According to our database, Martijn Bartelds authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

CoRR, 2024

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

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

Martijn Bartelds, Nay San, Bradley McDonnell, Dan Jurafsky, Martijn Wieling

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Neural representations for modeling variation in speech.

Martijn Bartelds, Wietse de Vries, Faraz Sanal, Caitlin Richter, Mark Y. Liberman, Martijn Wieling

J. Phonetics, 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

Quantifying Language Variation Acoustically with Few Resources.

Martijn Bartelds, Martijn Wieling

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

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, Jane Simpson, Myfany Turpin, Maria Vollmer, Sasha Wilmoth, Dan Jurafsky

CoRR, 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, Jane Simpson, Myfany Turpin, Maria Vollmer, Sasha Wilmoth, Dan Jurafsky

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

Adapting Monolingual Models: Data can be Scarce when Language Similarity is High.

Wietse de Vries, Martijn Bartelds, Malvina Nissim, Martijn Wieling

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

A New Acoustic-Based Pronunciation Distance Measure.

Martijn Bartelds, Caitlin Richter, Mark Y. Liberman, Martijn Wieling

Frontiers Artif. Intell., 2020

Neural Representations for Modeling Variation in English Speech.

Martijn Bartelds, Wietse de Vries, Faraz Sanal, Caitlin Richter, Mark Y. Liberman, Martijn Wieling

CoRR, 2020

2019

Improving Cross-domain Authorship Attribution by Combining Lexical and Syntactic Features.

Martijn Bartelds, Wietse de Vries

Proceedings of the Working Notes of CLEF 2019, 2019