Publications:

1. Navin Raj Prabhu, Guillaume Carbajal, Nale Lehmann-Willenbrock, Timo Gerkmann, "End-To-End Label Uncertainty Modeling for Speech-based Arousal Recognition Using Bayesian Neural Networks", Interspeech, Incheon, Korea, Sep. 2022. [doi] [arxiv] [code] 
2. Navin Raj Prabhu, Nale Lehmann-Willenbrock, Timo Gerkmann, "Label Uncertainty Modeling and Prediction for Speech Emotion Recognition using t-Distributions", Affective Computing and Intelligent Interaction (ACII), Nara, Japan, Oct. 2022. [doi] [arxiv] [code]
3. Danilo de Oliveira, Navin Raj Prabhu, Timo Gerkmann, "Leveraging Semantic Information for Efficient Self-Supervised Emotion Recognition with Audio-Textual Distilled Models", Interspeech, Dublin, Ireland, Aug. 2023. [arxiv]
4. Navin Raj Prabhu, Nale Lehmann-Willenbrock, Timo Gerkmann, "End-to-End Label Uncertainty Modeling in Speech Emotion Recognition using Bayesian Neural Networks and Label Distribution Learning", IEEE Transactions on Affective Computing, May, 2023. [doi] [arxiv] [code]
5. Navin Raj Prabhu, Nale Lehmann-Willenbrock, Timo Gerkmann, "In-the-wild Speech Emotion Conversion Using Disentangled Self-Supervised Representations and Neural Vocoder-based Resynthesis", Submitted to 15th ITG Conference on Speech Communication, Jun. 2023. [arxiv] [audio]