Navin Raj Prabhu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 15

Top Topics

Emotion Recognition

Quality Measures

Top Venues

IEEE Trans. Affect. Comput.

Publications

Navin Raj Prabhu, Bunlong Lay, Simon Welker, Nale Lehmann-Willenbrock, Timo Gerkmann
EMOCONV-Diff: Diffusion-Based Speech Emotion Conversion for Non-Parallel and in-the-Wild Data. ICASSP (2024)
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 Trans. Affect. Comput. 15 (2) (2024)
Danilo de Oliveira, Navin Raj Prabhu, Timo Gerkmann
Leveraging Semantic Information for Efficient Self-Supervised Emotion Recognition with Audio-Textual Distilled Models. CoRR (2023)
Navin Raj Prabhu, Bunlong Lay, Simon Welker, Nale Lehmann-Willenbrock, Timo Gerkmann
EMOCONV-DIFF: Diffusion-based Speech Emotion Conversion for Non-parallel and In-the-wild Data. CoRR (2023)
Chirag Raman, Navin Raj Prabhu, Hayley Hung
Perceived Conversation Quality in Spontaneous Interactions. IEEE Trans. Affect. Comput. 14 (4) (2023)
Navin Raj Prabhu, Nale Lehmann-Willenbrock, Timo Gerkmann
In-the-wild Speech Emotion Conversion Using Disentangled Self-Supervised Representations and Neural Vocoder-based Resynthesis. CoRR (2023)
Danilo de Oliveira, Navin Raj Prabhu, Timo Gerkmann
Leveraging Semantic Information for Efficient Self-Supervised Emotion Recognition with Audio-Textual Distilled Models. INTERSPEECH (2023)
Chirag Raman, Navin Raj Prabhu, Hayley Hung
Perceived Conversation Quality in Spontaneous Interactions. CoRR (2022)
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. CoRR (2022)
Navin Raj Prabhu, Nale Lehmann-Willenbrock, Timo Gerkmann
Label Uncertainty Modeling and Prediction for Speech Emotion Recognition using t-Distributions. CoRR (2022)
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 (2022)
Navin Raj Prabhu, Nale Lehmann-Willenbrock, Timo Gerkmann
Label Uncertainty Modeling and Prediction for Speech Emotion Recognition using t-Distributions. ACII (2022)
Navin Raj Prabhu, Guillaume Carbajal, Nale Lehmann-Willenbrock, Timo Gerkmann
End-to-end label uncertainty modeling for speech emotion recognition using Bayesian neural networks. CoRR (2021)
Navin Raj Prabhu, Chirag Raman, Hayley Hung
Defining and Quantifying Conversation Quality in Spontaneous Interactions. CoRR (2020)
Navin Raj Prabhu, Chirag Raman, Hayley Hung
Defining and Quantifying Conversation Quality in Spontaneous Interactions. ICMI Companion (2020)