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2020 – today
- 2025
[i5]Reva Schwartz, Rumman Chowdhury, Akash Kundu, Heather Frase, Marzieh Fadaee, Tom David, Gabriella Waters
, Afaf Taik, Morgan Briggs, Patrick Hall, Shomik Jain, Kyra Yee, Spencer Thomas, Sundeep Bhandari, Paul Duncan, Andrew Thompson, Maya Carlyle, Qinghua Lu, Matthew Holmes, Theodora Skeadas:
Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects. CoRR abs/2505.18893 (2025)- [i4]Wm. Matthew Kennedy, Cigdem Patlak, Jayraj Dave, Blake Chambers, Aayush Dhanotiya, Darshini Ramiah, Reva Schwartz, Jack Hagen, Akash Kundu, Mouni Pendharkar, Liam Baisley, Theodora Skeadas, Rumman Chowdhury:
Ask What Your Country Can Do For You: Towards a Public Red Teaming Model. CoRR abs/2510.20061 (2025) - 2024
- [c9]Wesley Hanwen Deng, Glen Berman, Harmanpreet Kaur, Reva Schwartz, Memunat Ajoke Ibrahim, Motahhare Eslami, Kenneth Holstein, Michael Madaio:
Collaboratively Designing and Evaluating Responsible AI Interventions. CSCW Companion 2024: 658-662 - 2023
- [c8]Isaac Slaughter, Craig Greenberg, Reva Schwartz, Aylin Caliskan:
Pre-trained Speech Processing Models Contain Human-Like Biases that Propagate to Speech Emotion Recognition. EMNLP (Findings) 2023: 8967-8989 - [i3]Hong Qin, Jude Kong, Wandi Ding, Ramneek Ahluwalia, Christo El-Morr, Zeynep Engin, Jake Okechukwu Effoduh, Rebecca Hwa, Serena Jingchuan Guo, Laleh Seyyed-Kalantari, Sylvia Kiwuwa Muyingo, Candace Makeda Moore, Ravi Parikh, Reva Schwartz, Dongxiao Zhu, Xiaoqian Wang, Yiye Zhang:
Towards Trustworthy Artificial Intelligence for Equitable Global Health. CoRR abs/2309.05088 (2023) - [i2]Isaac Slaughter, Craig Greenberg, Reva Schwartz, Aylin Caliskan:
Pre-trained Speech Processing Models Contain Human-Like Biases that Propagate to Speech Emotion Recognition. CoRR abs/2310.18877 (2023) - 2020
- [i1]Lydia P. Gleaves, Reva Schwartz, David A. Broniatowski:
The Role of Individual User Differences in Interpretable and Explainable Machine Learning Systems. CoRR abs/2009.06675 (2020)
2010 – 2019
- 2016
- [c7]Jean-François Bonastre, Joseph P. Campbell, Anders P. Eriksson, Hirotaka Nakasone, Reva Schwartz:
Speaker Comparison for Forensic and Investigative Applications II. INTERSPEECH 2016 - 2011
- [c6]Reva Schwartz, Joseph P. Campbell, Wade Shen, Douglas E. Sturim, William M. Campbell, Fred S. Richardson, Robert B. Dunn, Robert Granville:
USSS-MITLL 2010 human assisted speaker recognition. ICASSP 2011: 5904-5907 - [c5]Wade Shen, Joseph P. Campbell, Derek Straub, Reva Schwartz:
Assessing the speaker recognition performance of naive listeners using mechanical turk. ICASSP 2011: 5916-5919
2000 – 2009
- 2009
- [j1]Joseph P. Campbell, Wade Shen, William M. Campbell, Reva Schwartz, Jean-François Bonastre, Driss Matrouf:
Forensic speaker recognition. IEEE Signal Process. Mag. 26(2): 95-103 (2009) - [c4]Nancy F. Chen, Wade Shen, Joseph P. Campbell, Reva Schwartz:
Large-scale analysis of formant frequency estimation variability in conversational telephone speech. INTERSPEECH 2009: 2203-2206 - 2008
- [c3]Christopher Cieri, Stephanie M. Strassel, Meghan Lammie Glenn, Reva Schwartz, Wade Shen, Joseph P. Campbell:
Bridging the Gap between Linguists and Technology Developers: Large-Scale, Sociolinguistic Annotation for Dialect and Speaker Recognition. LREC 2008 - 2007
- [c2]Reva Schwartz, Wade Shen, Joseph P. Campbell, Shelley Paget, Julie Vonwiller, Dominique Estival, Christopher Cieri:
Construction of a phonotactic dialect corpus using semiautomatic annotation. INTERSPEECH 2007: 942-945 - 2004
- [c1]Steven D. Beck, Reva Schwartz, Hirotaka Nakasone:
A bilingual multi-modal voice corpus for language and speaker recognition (LASR) services. Odyssey 2004: 265-270
Coauthor Index
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