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20212026
most citedEnd-to-End Label Uncertainty Modeling in Speech Emotion Recognition using Bayesian Neural Networks and Label Distribution Learning

12 citations · 23 across the 8 of their papers we have counts for

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2 papers · 1 filter

eess.AS2023

EMOCONV-DIFF: Diffusion-based Speech Emotion Conversion for Non-parallel and In-the-wild Data

Navin Raj Prabhu, Bunlong Lay, Simon Welker +2

Speech emotion conversion is the task of converting the expressed emotion of a spoken utterance to a target emotion while preserving the lexical content and speaker identity. While…

eess.AS2023★ 1 cited

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

Navin Raj Prabhu, Nale Lehmann-Willenbrock, Timo Gerkmann

Speech emotion conversion aims to convert the expressed emotion of a spoken utterance to a target emotion while preserving the lexical information and the speaker's identity. In th…