activity
20232026
most citedThe MuSe 2023 Multimodal Sentiment Analysis Challenge: Mimicked Emotions, Cross-Cultural Humour, and Personalisation

1 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD2026

TADA: A Generative Framework for Speech Modeling via Text-Acoustic Dual Alignment

Trung Dang, Sharath Rao, Ananya Gupta +6

Modern Text-to-Speech (TTS) systems increasingly leverage Large Language Model (LLM) architectures to achieve scalable, high-fidelity, zero-shot generation. However, these systems…

cs.SD2024

The NeurIPS 2023 Machine Learning for Audio Workshop: Affective Audio Benchmarks and Novel Data

Alice Baird, Rachel Manzelli, Panagiotis Tzirakis +7

The NeurIPS 2023 Machine Learning for Audio Workshop brings together machine learning (ML) experts from various audio domains. There are several valuable audio-driven ML tasks, fro…

cs.CV2024★ 1 cited

The 6th Affective Behavior Analysis in-the-wild (ABAW) Competition

Dimitrios Kollias, Panagiotis Tzirakis, Alan Cowen +6

This paper describes the 6th Affective Behavior Analysis in-the-wild (ABAW) Competition, which is part of the respective Workshop held in conjunction with IEEE CVPR 2024. The 6th A…

cs.LG2023★ 1 cited

The MuSe 2023 Multimodal Sentiment Analysis Challenge: Mimicked Emotions, Cross-Cultural Humour, and Personalisation

Lukas Christ, Shahin Amiriparian, Alice Baird +10

The MuSe 2023 is a set of shared tasks addressing three different contemporary multimodal affect and sentiment analysis problems: In the Mimicked Emotions Sub-Challenge (MuSe-Mimic…

cs.SD2023★ 1 cited

The ACM Multimedia 2023 Computational Paralinguistics Challenge: Emotion Share & Requests

Björn W. Schuller, Anton Batliner, Shahin Amiriparian +10

The ACM Multimedia 2023 Computational Paralinguistics Challenge addresses two different problems for the first time in a research competition under well-defined conditions: In the…