Search Results for author: Kusha Sridhar

Found 4 papers, 2 papers with code

Bias Reducing Multitask Learning on Mental Health Prediction

no code implementations7 Aug 2022 Khadija Zanna, Kusha Sridhar, Han Yu, Akane Sano

However, there is still a lack of standard in evaluating bias in such machine learning models in the field, which leads to challenges in providing reliable predictions and in addressing disparities.

Fairness Feature Importance +2

More to Less (M2L): Enhanced Health Recognition in the Wild with Reduced Modality of Wearable Sensors

1 code implementation16 Feb 2022 Huiyuan Yang, Han Yu, Kusha Sridhar, Thomas Vaessen, Inez Myin-Germeys, Akane Sano

For example, although combining bio-signals from multiple sensors (i. e., a chest pad sensor and a wrist wearable sensor) has been proved effective for improved performance, wearing multiple devices might be impractical in the free-living context.

Transfer Learning

ICASSP 2021 Acoustic Echo Cancellation Challenge: Datasets and Testing Framework

1 code implementation10 Sep 2020 Kusha Sridhar, Ross Cutler, Ando Saabas, Tanel Parnamaa, Hannes Gamper, Sebastian Braun, Robert Aichner, Sriram Srinivasan

In this challenge, we open source two large datasets to train AEC models under both single talk and double talk scenarios.

Acoustic echo cancellation Audio and Speech Processing Sound

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