The ACM Multimedia 2023 Computational Paralinguistics Challenge: Emotion Share & Requests-Reference-Cited by-同舟云学术

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

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
language:
Short-container-title:

Author:

Schuller Björn W.¹^ORCID,Batliner Anton²^ORCID,Amiriparian Shahin²^ORCID,Barnhill Alexander³^ORCID,Gerczuk Maurice²^ORCID,Triantafyllopoulos Andreas²^ORCID,Baird Alice E.⁴^ORCID,Tzirakis Panagiotis⁴^ORCID,Gagne Chris⁴^ORCID,Cowen Alan S.⁴^ORCID,Lackovic Nikola⁵^ORCID,Caraty Marie-José⁶^ORCID,Montacié Claude⁶^ORCID

Affiliation:

1. Imperial College London, London, United Kingdom

2. University of Augsburg, Augsburg, Germany

3. Friedrich-Alexander University, Erlangen-Nuremberg, Germany

4. Hume AI, New York, NY, USA

5. Malakoff Humanis, Paris, France

6. Sorbonne University, Paris, France

Funder

DFG project (ParaStiChaD)

DFG?s Reinhart Koselleck project (AUDI0NOMOUS)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3612835

Reference27 articles.

1. Shahin Amiriparian , Michael Freitag , Nicholas Cummins , and Björn Schuller . 2017 a. Sequence to Sequence Autoencoders for Unsupervised Representation Learning from Audio . In Proc. DCASE 2017. IEEE, Munich, Germany, 17--21. Shahin Amiriparian, Michael Freitag, Nicholas Cummins, and Björn Schuller. 2017a. Sequence to Sequence Autoencoders for Unsupervised Representation Learning from Audio. In Proc. DCASE 2017. IEEE, Munich, Germany, 17--21.

2. Snore Sound Classification Using Image-Based Deep Spectrum Features

3. Towards cross-modal pre-training and learning tempo-spatial characteristics for audio recognition with convolutional and recurrent neural networks

4. Customer relationship management and big data enabled: Personalization & customization of services

5. Ethics and Good Practice in Computational Paralinguistics

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cascaded cross-modal transformer for audio–textual classification;Artificial Intelligence Review;2024-08-02

2. Comparison of performance of automatic recognizers for stutters in speech trained with event or interval markers;Frontiers in Psychology;2024-02-27

3. From Raw Speech to Fixed Representations: A Comprehensive Evaluation of Speech Embedding Techniques;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

4. Ensembling Multilingual Pre-Trained Models for Predicting Multi-Label Regression Emotion Share from Speech;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31

5. MuSe 2023 Challenge: Multimodal Prediction of Mimicked Emotions, Cross-Cultural Humour, and Personalised Recognition of Affects;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26