Wiebke Hutiri

Orcid: 0000-0002-9657-9509

According to our database1, Wiebke Hutiri authored at least 19 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
As Biased as You Measure: Methodological Pitfalls of Bias Evaluations in Speaker Verification Research.
CoRR, 2024

Introducing v0.5 of the AI Safety Benchmark from MLCommons.
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CoRR, 2024

Not My Voice! A Taxonomy of Ethical and Safety Harms of Speech Generators.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2023
Tiny, Always-on, and Fragile: Bias Propagation through Design Choices in On-device Machine Learning Workflows.
ACM Trans. Softw. Eng. Methodol., November, 2023

About Voice: A Longitudinal Study of Speaker Recognition Dataset Dynamics.
CoRR, 2023

Benchmark Dataset Dynamics, Bias and Privacy Challenges in Voice Biometrics Research.
Proceedings of the IEEE International Joint Conference on Biometrics, 2023

2022
Design Guidelines for Inclusive Speaker Verification Evaluation Datasets.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Bias in Automated Speaker Recognition.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Towards Trustworthy Edge Intelligence: Insights from Voice-Activated Services.
Proceedings of the IEEE International Conference on Services Computing, 2022

2021
SVEva Fair: A Framework for Evaluating Fairness in Speaker Verification.
CoRR, 2021

Design Considerations for Data Daemons: Co-creating Design Futures to Explore Ethical Personal Data Management.
CoRR, 2021

Characterising the Role of Pre-Processing Parameters in Audio-based Embedded Machine Learning.
Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021

2020
Clustering Residential Electricity Consumption Data to Create Archetypes that Capture Household Behaviour in South Africa.
South Afr. Comput. J., 2020

Automating Cluster Analysis to Generate Customer Archetypes for Residential Energy Consumers in South Africa.
CoRR, 2020

Design Considerations for High Impact, Automated Echocardiogram Analysis.
CoRR, 2020

Using competency questions to select optimal clustering structures for residential energy consumption patterns.
CoRR, 2020

Identifying optimal clustering structures for residential energy consumption patterns using competency questions.
Proceedings of the SAICSIT '20: Conference of the South African Institute of Computer Scientists and Information Technologists 2020, 2020

Machine Learning Systems in the IoT: Trustworthiness Trade-offs for Edge Intelligence.
Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020

2019
Comparison of clustering techniques for residential load profiles in South Africa.
Proceedings of the South African Forum for Artificial Intelligence Research, 2019


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