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

TL;DR

The ACM Multimedia 2023 Computational Paralinguistics Challenge introduces two novel sub-challenges: emotion regression and request detection in speech, utilizing multiple feature extraction methods and deep learning models.

Contribution

It is the first research competition addressing emotion regression and request detection in speech under well-defined conditions.

Findings

Baseline feature extraction methods established.

Deep learning models applied to speech analysis.

Framework for future research in computational paralinguistics.

Abstract

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 Emotion Share Sub-Challenge, a regression on speech has to be made; and in the Requests Sub-Challenges, requests and complaints need to be detected. We describe the Sub-Challenges, baseline feature extraction, and classifiers based on the usual ComPaRE features, the auDeep toolkit, and deep feature extraction from pre-trained CNNs using the DeepSpectRum toolkit; in addition, wav2vec2 models are used.