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Wiebke Hutiri
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2020 – today
- 2024
- [c9]Wiebke Hutiri
, Orestis Papakyriakopoulos
Not My Voice! A Taxonomy of Ethical and Safety Harms of Speech Generators. FAccT 2024: 359-376 - [i14]Wiebke Hutiri, Orestis Papakyriakopoulos, Alice Xiang:
Not My Voice! A Taxonomy of Ethical and Safety Harms of Speech Generators. CoRR abs/2402.01708 (2024) - [i13]Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane Blili-Hamelin, Kurt D. Bollacker, Rishi Bomassani, Marisa Ferrara Boston, Siméon Campos, Kal Chakra, Canyu Chen, Cody Coleman, Zacharie Delpierre Coudert, Leon Derczynski, Debojyoti Dutta, Ian Eisenberg, James Ezick, Heather Frase, Brian Fuller, Ram Gandikota, Agasthya Gangavarapu, Ananya Gangavarapu, James Gealy, Rajat Ghosh, James Goel, Usman Gohar, Subhra S. Goswami, Scott A. Hale, Wiebke Hutiri, Joseph Marvin Imperial, Surgan Jandial, Nick Judd
Introducing v0.5 of the AI Safety Benchmark from MLCommons. CoRR abs/2404.12241 (2024) - [i12]Wiebke Hutiri, Tanvina Patel, Aaron Yi Ding, Odette Scharenborg:
As Biased as You Measure: Methodological Pitfalls of Bias Evaluations in Speaker Verification Research. CoRR abs/2408.13614 (2024) - 2023
- [j2]Wiebke Toussaint Hutiri
Tiny, Always-on, and Fragile: Bias Propagation through Design Choices in On-device Machine Learning Workflows. ACM Trans. Softw. Eng. Methodol. 32(6): 155:1-155:37 (2023) - [c8]Casandra Rusti, Anna Leschanowsky
Benchmark Dataset Dynamics, Bias and Privacy Challenges in Voice Biometrics Research. IJCB 2023: 1-10 - [i11]Casandra Rusti, Anna Leschanowsky, Carolyn Quinlan
About Voice: A Longitudinal Study of Speaker Recognition Dataset Dynamics. CoRR abs/2304.03858 (2023) - 2022
- [c7]Wiebke Toussaint Hutiri, Aaron Yi Ding
Towards Trustworthy Edge Intelligence: Insights from Voice-Activated Services. SCC 2022: 239-248 - [c6]Wiebke Toussaint Hutiri, Aaron Yi Ding
Bias in Automated Speaker Recognition. FAccT 2022: 230-247 - [c5]Wiebke Toussaint, Lauriane Gorce, Aaron Yi Ding
Design Guidelines for Inclusive Speaker Verification Evaluation Datasets. INTERSPEECH 2022: 1293-1297 - [i10]Wiebke Toussaint, Akhil Mathur, Fahim Kawsar, Aaron Yi Ding:
Tiny, always-on and fragile: Bias propagation through design choices in on-device machine learning workflows. CoRR abs/2201.07677 (2022) - [i9]Wiebke Toussaint, Aaron Yi Ding:
Bias in Automated Speaker Recognition. CoRR abs/2201.09486 (2022) - [i8]Wiebke Toussaint Hutiri, Lauriane Gorce, Aaron Yi Ding:
Design Guidelines for Inclusive Speaker Verification Evaluation Datasets. CoRR abs/2204.02281 (2022) - [i7]Wiebke Toussaint Hutiri, Aaron Yi Ding:
Towards Trustworthy Edge Intelligence: Insights from Voice-Activated Services. CoRR abs/2206.09523 (2022) - 2021
- [c4]Wiebke Toussaint, Akhil Mathur, Aaron Yi Ding
Characterising the Role of Pre-Processing Parameters in Audio-based Embedded Machine Learning. SenSys 2021: 439-445 - [i6]Wiebke Toussaint, Alejandra Gómez Ortega, Jered Vroon, Julian Harty, Gürkan Solmaz, Olya Kudina, Ella Peltonen, Jacky Bourgeois, Aaron Yi Ding:
Design Considerations for Data Daemons: Co-creating Design Futures to Explore Ethical Personal Data Management. CoRR abs/2106.14975 (2021) - [i5]Wiebke Toussaint, Aaron Yi Ding:
SVEva Fair: A Framework for Evaluating Fairness in Speaker Verification. CoRR abs/2107.12049 (2021) - 2020
- [j1]Wiebke Toussaint
Clustering Residential Electricity Consumption Data to Create Archetypes that Capture Household Behaviour in South Africa. South Afr. Comput. J. 32(2) (2020) - [c3]Wiebke Toussaint, Aaron Yi Ding
Machine Learning Systems in the IoT: Trustworthiness Trade-offs for Edge Intelligence. CogMI 2020: 177-184 - [c2]Wiebke Toussaint, Deshendran Moodley:
Identifying optimal clustering structures for residential energy consumption patterns using competency questions. SAICSIT 2020: 66-73 - [i4]Wiebke Toussaint, Deshendran Moodley:
Using competency questions to select optimal clustering structures for residential energy consumption patterns. CoRR abs/2006.00934 (2020) - [i3]Wiebke Toussaint, Dave Van Veen, Courtney Irwin, Yoni Nachmany, Manuel Barreiro-Pérez, Elena Díaz-Peláez, Sara Guerreiro de Sousa, Liliana Millán, Pedro L. Sánchez, Antonio Sánchez-Puente, Jesús Sampedro-Gómez, Pedro Ignacio Dorado-Díaz, Víctor Vicente-Palacios:
Design Considerations for High Impact, Automated Echocardiogram Analysis. CoRR abs/2006.06292 (2020) - [i2]Wiebke Toussaint, Deshendran Moodley:
Automating Cluster Analysis to Generate Customer Archetypes for Residential Energy Consumers in South Africa. CoRR abs/2006.07197 (2020) - [i1]Wiebke Toussaint, Aaron Yi Ding:
Machine Learning Systems in the IoT: Trustworthiness Trade-offs for Edge Intelligence. CoRR abs/2012.00419 (2020)
2010 – 2019
- 2019
- [c1]Wiebke Toussaint, Deshendran Moodley:
Comparison of clustering techniques for residential load profiles in South Africa. FAIR 2019: 117-132
Coauthor Index
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