The ACM Multimedia 2023 Computational Paralinguistics Challenge: Emotion Share & Requests
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.
- Publication:
-
arXiv e-prints
- Pub Date:
- April 2023
- DOI:
- 10.48550/arXiv.2304.14882
- arXiv:
- arXiv:2304.14882
- Bibcode:
- 2023arXiv230414882S
- Keywords:
-
- Computer Science - Sound;
- Computer Science - Machine Learning;
- Electrical Engineering and Systems Science - Audio and Speech Processing;
- 68;
- I.2.7;
- I.5.0;
- J.3
- E-Print:
- 5 pages, part of the ACM Multimedia 2023 Grand Challenge "The ACM Multimedia 2023 Computational Paralinguistics Challenge (ComParE 2023). arXiv admin note: text overlap with arXiv:2205.06799