Bibliographic Details
| Title: |
The ACM Multimedia 2023 Computational Paralinguistics Challenge: Emotion Share & Requests |
| Authors: |
Schuller, Björn W., Batliner, Anton, Amiriparian, Shahin, Barnhill, Alexander, Gerczuk, Maurice, Triantafyllopoulos, Andreas, Baird, Alice, Tzirakis, Panagiotis, Gagne, Chris, Cowen, Alan S., Lackovic, Nikola, Caraty, Marie-José, Montacié, Claude |
| Publication Year: |
2023 |
| Collection: |
Computer Science |
| Subject Terms: |
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 |
| More Details: |
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.
Comment: 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 |
| Document Type: |
Working Paper |
| Access URL: |
http://arxiv.org/abs/2304.14882 |
| Accession Number: |
edsarx.2304.14882 |
| Database: |
arXiv |
