Kusha Sridhar

Orcid: 0000-0003-2584-6902

According to our database1, Kusha Sridhar authored at least 12 papers between 2018 and 2022.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Unsupervised Personalization of an Emotion Recognition System: The Unique Properties of the Externalization of Valence in Speech.
IEEE Trans. Affect. Comput., 2022

More to Less (M2L): Enhanced Health Recognition in the Wild with Reduced Modality of Wearable Sensors.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Bias Reducing Multitask Learning on Mental Health Prediction.
Proceedings of the 10th International Conference on Affective Computing and Intelligent Interaction, 2022

2021
Deep Representation Learning for Affective Speech Signal Analysis and Processing: Preventing unwanted signal disparities.
IEEE Signal Process. Mag., 2021

ICASSP 2021 Acoustic Echo Cancellation Challenge: Datasets, Testing Framework, and Results.
Proceedings of the IEEE International Conference on Acoustics, 2021

Deepemocluster: a Semi-Supervised Framework for Latent Cluster Representation of Speech Emotions.
Proceedings of the IEEE International Conference on Acoustics, 2021

Generative Approach Using Soft-Labels to Learn Uncertainty in Predicting Emotional Attributes <sup>*</sup>.
Proceedings of the 9th International Conference on Affective Computing and Intelligent Interaction, 2021

2020
ICASSP 2021 Acoustic Echo Cancellation Challenge: Datasets and Testing Framework.
CoRR, 2020

Ensemble of Students Taught by Probabilistic Teachers to Improve Speech Emotion Recognition.
Proceedings of the Interspeech 2020, 2020

Modeling Uncertainty in Predicting Emotional Attributes from Spontaneous Speech.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Speech Emotion Recognition with a Reject Option.
Proceedings of the Interspeech 2019, 2019

2018
Role of Regularization in the Prediction of Valence from Speech.
Proceedings of the Interspeech 2018, 2018


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