Navin Raj Prabhu

18 papers A 2B 1C 1Misc 1Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dynamics of Collective Group Affect: Group-Level Annotations and the Multimodal Modeling of Convergence and Divergence.
IEEE Trans. Affect. Comput.
Navin Raj Prabhu, Maria Tsfasman, Catharine Oertel, Timo Gerkmann, Nale Lehmann-Willenbrock
2025 C conf
Enhancing In-the-Wild Speech Emotion Conversion with Resynthesis-based Duration Modeling.
ASRU
Navin Raj Prabhu, Danilo de Oliveira, Nale Lehmann-Willenbrock, Timo Gerkmann
2024 J jnl
Dynamics of Collective Group Affect: Group-level Annotations and the Multimodal Modeling of Convergence and Divergence.
CoRR
Navin Raj Prabhu, Maria Tsfasman, Catharine Oertel, Timo Gerkmann, Nale Lehmann-Willenbrock
2024 Misc conf
EMOCONV-Diff: Diffusion-Based Speech Emotion Conversion for Non-Parallel and in-the-Wild Data.
ICASSP
Navin Raj Prabhu, Bunlong Lay, Simon Welker, Nale Lehmann-Willenbrock, Timo Gerkmann
2024 J jnl
End-to-End Label Uncertainty Modeling in Speech Emotion Recognition Using Bayesian Neural Networks and Label Distribution Learning.
IEEE Trans. Affect. Comput.
Navin Raj Prabhu, Nale Lehmann-Willenbrock, Timo Gerkmann
2023 J jnl
EMOCONV-DIFF: Diffusion-based Speech Emotion Conversion for Non-parallel and In-the-wild Data.
CoRR
Navin Raj Prabhu, Bunlong Lay, Simon Welker, Nale Lehmann-Willenbrock, Timo Gerkmann
2023 J jnl
In-the-wild Speech Emotion Conversion Using Disentangled Self-Supervised Representations and Neural Vocoder-based Resynthesis.
CoRR
Navin Raj Prabhu, Nale Lehmann-Willenbrock, Timo Gerkmann
2023 A conf
Leveraging Semantic Information for Efficient Self-Supervised Emotion Recognition with Audio-Textual Distilled Models.
INTERSPEECH
Danilo de Oliveira, Navin Raj Prabhu, Timo Gerkmann
2023 J jnl
Leveraging Semantic Information for Efficient Self-Supervised Emotion Recognition with Audio-Textual Distilled Models.
CoRR
Danilo de Oliveira, Navin Raj Prabhu, Timo Gerkmann
2023 J jnl
Perceived Conversation Quality in Spontaneous Interactions.
IEEE Trans. Affect. Comput.
Chirag Raman, Navin Raj Prabhu, Hayley Hung
2022 A conf
End-To-End Label Uncertainty Modeling for Speech-based Arousal Recognition Using Bayesian Neural Networks.
INTERSPEECH
Navin Raj Prabhu, Guillaume Carbajal, Nale Lehmann-Willenbrock, Timo Gerkmann
2022 J jnl
End-to-End Label Uncertainty Modeling in Speech Emotion Recognition using Bayesian Neural Networks and Label Distribution Learning.
CoRR
Navin Raj Prabhu, Nale Lehmann-Willenbrock, Timo Gerkmann
2022 B conf
Label Uncertainty Modeling and Prediction for Speech Emotion Recognition using t-Distributions.
ACII
Navin Raj Prabhu, Nale Lehmann-Willenbrock, Timo Gerkmann
2022 J jnl
Label Uncertainty Modeling and Prediction for Speech Emotion Recognition using t-Distributions.
CoRR
Navin Raj Prabhu, Nale Lehmann-Willenbrock, Timo Gerkmann
2022 J jnl
Perceived Conversation Quality in Spontaneous Interactions.
CoRR
Chirag Raman, Navin Raj Prabhu, Hayley Hung
2021 J jnl
End-to-end label uncertainty modeling for speech emotion recognition using Bayesian neural networks.
CoRR
Navin Raj Prabhu, Guillaume Carbajal, Nale Lehmann-Willenbrock, Timo Gerkmann
2020 — conf
Defining and Quantifying Conversation Quality in Spontaneous Interactions.
ICMI Companion
Navin Raj Prabhu, Chirag Raman, Hayley Hung
2020 J jnl
Defining and Quantifying Conversation Quality in Spontaneous Interactions.
CoRR
Navin Raj Prabhu, Chirag Raman, Hayley Hung