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Nay San
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Conference and Workshop Papers
- 2024
- [c5]Nay San, Georgios Paraskevopoulos, Aryaman Arora, Xiluo He, Prabhjot Kaur, Oliver Adams, Dan Jurafsky:
Predicting positive transfer for improved low-resource speech recognition using acoustic pseudo-tokens. SIGTYPE 2024: 100-112 - 2023
- [c4]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 - [c3]Anjalie Field, Prateek Verma, Nay San, Jennifer L. Eberhardt, Dan Jurafsky:
Developing Speech Processing Pipelines for Police Accountability. INTERSPEECH 2023: 1229-1233 - 2021
- [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 - 2018
- [c1]Ben Foley, Joshua T. Arnold, Rolando Coto-Solano, Gautier Durantin, T. Mark Ellison, Daan van Esch, Scott Heath, Frantisek Kratochvil, Zara Maxwell-Smith, David Nash, Ola Olsson, Mark Richards, Nay San, Hywel Stoakes, Nick Thieberger, Janet Wiles:
Building Speech Recognition Systems for Language Documentation: The CoEDL Endangered Language Pipeline and Inference System (ELPIS). SLTU 2018: 205-209
Informal and Other Publications
- 2024
- [i7]Nay San, Georgios Paraskevopoulos, Aryaman Arora, Xiluo He, Prabhjot Kaur, Oliver Adams, Dan Jurafsky:
Predicting positive transfer for improved low-resource speech recognition using acoustic pseudo-tokens. CoRR abs/2402.02302 (2024) - [i6]Shayne Longpre, Stella Biderman, Alon Albalak, Hailey Schoelkopf, Daniel McDuff, Sayash Kapoor, Kevin Klyman, Kyle Lo, Gabriel Ilharco, Nay San, Maribeth Rauh, Aviya Skowron, Bertie Vidgen, Laura Weidinger, Arvind Narayanan, Victor Sanh, David Ifeoluwa Adelani, Percy Liang, Rishi Bommasani, Peter Henderson, Sasha Luccioni, Yacine Jernite, Luca Soldaini:
The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources. CoRR abs/2406.16746 (2024) - 2023
- [i5]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) - [i4]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) - [i3]Anjalie Field, Prateek Verma, Nay San, Jennifer L. Eberhardt, Dan Jurafsky:
Developing Speech Processing Pipelines for Police Accountability. CoRR abs/2306.06086 (2023) - 2022
- [i2]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) - 2021
- [i1]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)
Coauthor Index
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last updated on 2024-10-07 22:20 CEST by the dblp team
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