Navin Raj Prabhu

According to our database, Navin Raj Prabhu authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Navin Raj Prabhu, Nale Lehmann-Willenbrock, Timo Gerkmann

IEEE Trans. Affect. Comput., 2024

Dynamics of Collective Group Affect: Group-level Annotations and the Multimodal Modeling of Convergence and Divergence.

Navin Raj Prabhu, Maria Tsfasman, Catharine Oertel, Timo Gerkmann, Nale Lehmann-Willenbrock

CoRR, 2024

EMOCONV-Diff: Diffusion-Based Speech Emotion Conversion for Non-Parallel and in-the-Wild Data.

Navin Raj Prabhu, Bunlong Lay, Simon Welker, Nale Lehmann-Willenbrock, Timo Gerkmann

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Perceived Conversation Quality in Spontaneous Interactions.

Chirag Raman, Navin Raj Prabhu, Hayley Hung

IEEE Trans. Affect. Comput., 2023

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

Navin Raj Prabhu, Nale Lehmann-Willenbrock, Timo Gerkmann

CoRR, 2023

Leveraging Semantic Information for Efficient Self-Supervised Emotion Recognition with Audio-Textual Distilled Models.

Danilo de Oliveira, Navin Raj Prabhu, Timo Gerkmann

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

2022

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

Navin Raj Prabhu, Guillaume Carbajal, Nale Lehmann-Willenbrock, Timo Gerkmann

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

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

Navin Raj Prabhu, Nale Lehmann-Willenbrock, Timo Gerkmann

Proceedings of the 10th International Conference on Affective Computing and Intelligent Interaction, 2022

2021

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

Navin Raj Prabhu, Guillaume Carbajal, Nale Lehmann-Willenbrock, Timo Gerkmann

CoRR, 2021

2020

Defining and Quantifying Conversation Quality in Spontaneous Interactions.

Navin Raj Prabhu, Chirag Raman, Hayley Hung

Proceedings of the Companion Publication of the 2020 International Conference on Multimodal Interaction, 2020