N. Prabhu

End-To-End Label Uncertainty Modeling for Speech-based Arousal Recognition Using Bayesian Neural Networks

Timo Gerkmann, N. Lehmann-Willenbrock, N. Prabhu, 2021, INTERSPEECH.

Label Uncertainty Modeling and Prediction for Speech Emotion Recognition using t-Distributions

Timo Gerkmann, N. Lehmann-Willenbrock, N. Prabhu, 2022, 2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII).

Perceived Conversation Quality in Spontaneous Interactions

H. Hung, Chirag Raman, N. Prabhu, 2022, IEEE Transactions on Affective Computing.

End-to-End Label Uncertainty Modeling in Speech Emotion Recognition using Bayesian Neural Networks and Label Distribution Learning

Timo Gerkmann, N. Lehmann-Willenbrock, N. Prabhu, 2022, ArXiv.

Digital literacy and knowledge societies

Chong Guan, Ambica Dattakumar, Ravi S. Sharma, 2016 .

Digital literacy and knowledge societies

Ravi S. Sharma, C. Guan, A. Dattakumar, 2016 .

End-to-End Label Uncertainty Modeling in Speech Emotion Recognition Using Bayesian Neural Networks and Label Distribution Learning

Timo Gerkmann, N. Lehmann-Willenbrock, N. Prabhu, 2022, IEEE Transactions on Affective Computing.

End-to-end label uncertainty modeling for speech emotion recognition using Bayesian neural networks pdf

Timo Gerkmann, Nale Lehmann-Willenbrock, Guillaume Carbajal, 2021, ArXiv.

In-the-wild Speech Emotion Conversion Using Disentangled Self-Supervised Representations and Neural Vocoder-based Resynthesis

Timo Gerkmann, N. Lehmann-Willenbrock, N. Prabhu, 2023, ArXiv.