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2020 – today
- 2024
[i8]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:
ML-SUPERB 2.0: Benchmarking Multilingual Speech Models Across Modeling Constraints, Languages, and Datasets. CoRR abs/2406.08641 (2024)- 2023
- [c5]Martijn Bartelds, Nay San, Bradley McDonnell, Dan Jurafsky, Martijn Wieling
:
Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Augmentation. ACL (1) 2023: 715-729 - [i7]Nay San, Martijn Bartelds, Blaine Billings, Ella de Falco, Hendi Feriza, Johan Safri, Wawan Sahrozi, Ben Foley, Bradley McDonnell, Dan Jurafsky:
Leveraging supplementary text data to kick-start automatic speech recognition system development with limited transcriptions. CoRR abs/2302.04975 (2023) - [i6]Martijn Bartelds, Nay San, Bradley McDonnell, Dan Jurafsky, Martijn Wieling:
Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Augmentation. CoRR abs/2305.10951 (2023) - 2022
- [j2]Martijn Bartelds, Wietse de Vries, Faraz Sanal, Caitlin Richter, Mark Liberman, Martijn Wieling:
Neural representations for modeling variation in speech. J. Phonetics 92: 101137 (2022) - [c4]Martijn Bartelds, Martijn Wieling:
Quantifying Language Variation Acoustically with Few Resources. NAACL-HLT 2022: 3735-3741 - [i5]Nay San, Martijn Bartelds, Tolúlopé Ògúnrèmí, Alison Mount, Ruben Thompson, Michael Higgins, Roy Barker, Jane Simpson, Dan Jurafsky:
Automated speech tools for helping communities process restricted-access corpora for language revival efforts. CoRR abs/2204.07272 (2022) - [i4]Martijn Bartelds, Martijn Wieling:
Quantifying Language Variation Acoustically with Few Resources. CoRR abs/2205.02694 (2022) - 2021
- [c3]Wietse de Vries, Martijn Bartelds, Malvina Nissim, Martijn Wieling:
Adapting Monolingual Models: Data can be Scarce when Language Similarity is High. ACL/IJCNLP (Findings) 2021: 4901-4907 - [c2]Nay San, Martijn Bartelds, Mitchell Browne, Lily Clifford, Fiona Gibson, John Mansfield, David Nash, Jane Simpson, Myfany Turpin, Maria Vollmer, Sasha Wilmoth, Dan Jurafsky:
Leveraging Pre-Trained Representations to Improve Access to Untranscribed Speech from Endangered Languages. ASRU 2021: 1094-1101 - [i3]Nay San, Martijn Bartelds, Mitchell Browne, Lily Clifford, Fiona Gibson, John Mansfield, David Nash, Jane Simpson, Myfany Turpin, Maria Vollmer, Sasha Wilmoth, Dan Jurafsky:
Leveraging neural representations for facilitating access to untranscribed speech from endangered languages. CoRR abs/2103.14583 (2021) - [i2]Wietse de Vries, Martijn Bartelds, Malvina Nissim, Martijn Wieling:
Adapting Monolingual Models: Data can be Scarce when Language Similarity is High. CoRR abs/2105.02855 (2021) - 2020
- [j1]Martijn Bartelds, Caitlin Richter, Mark Liberman, Martijn Wieling:
A New Acoustic-Based Pronunciation Distance Measure. Frontiers Artif. Intell. 3: 39 (2020) - [i1]Martijn Bartelds, Wietse de Vries, Faraz Sanal, Caitlin Richter, Mark Liberman, Martijn Wieling:
Neural Representations for Modeling Variation in English Speech. CoRR abs/2011.12649 (2020)
2010 – 2019
- 2019
- [c1]Martijn Bartelds, Wietse de Vries:
Improving Cross-domain Authorship Attribution by Combining Lexical and Syntactic Features. CLEF (Working Notes) 2019
Coauthor Index
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last updated on 2024-10-07 21:19 CEST by the dblp team
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