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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.
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Charles Spearman. 1904 · 1904
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Anita Whiting and Naveen Donthu. 2006 · 2006
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The INTERSPEECH 2009 Emotion Challenge. In
Björn Schuller, Stefan Steidl, and Anton Batliner. 2009 · 2009
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Presenting the VENEC corpus: Development of a cross-cultural corpus of vocal emotion expressions and a novel method of annotating emotion appraisals
Petri Laukka, Hillary Anger Elfenbein, Wanda Chui, Nutankumar S. Thingujam, Frederick K. Iraki, Thomas Rockstuhl, and Jean Althoff. 2010 · 2010
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Recognising Realistic Emotions and Affect in Speech: State of the Art and Lessons Learnt from the First Challenge
Björn Schuller, Anton Batliner, Stefan Steidl, and Dino Seppi. 2011 · 2011
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Classifying skewed data: importance weighting to optimize average recall. In
Andrew Rosenberg. 2012 · 2012
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Recent Developments in openSMILE, the Munich Open-Source Multimedia Feature Extractor. In
Florian Eyben, Felix Weninger, Florian Groß, and Björn Schuller. 2013 · 2013
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The INTERSPEECH 2013 Computational Paralinguistics Challenge: Social Signals, Conflict, Emotion, Autism. In
Björn Schuller, Stefan Steidl, Anton Batliner, Alessandro Vinciarelli, Klaus Scherer, Fabien Ringeval, Mohamed Chetouani, Felix Weninger, Florian Eyben, Erik Marchi, Marcello Mortillaro, Hugues Salamin, Anna Polychroniou, Fabio Valente, and Samuel Kim. 2013 · 2013
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Computational Paralinguistics – Emotion, Affect, and Personality in Speech and Language Processing
Björn Schuller and Anton Batliner. 2014 · 2014
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The expression and recognition of emotions in the voice across five nations: A lens model analysis based on acoustic features
Petri Laukka, Hillary Anger Elfenbein, Nutankumar S Thingujam, Thomas Rockstuhl, Frederick K Iraki, Wanda Chui, and Jean Althoff. 2016 · 2016
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Sequence to Sequence Autoencoders for Unsupervised Representation Learning from Audio. In
Shahin Amiriparian, Michael Freitag, Nicholas Cummins, and Björn Schuller. 2017a · 2017
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auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networks
Michael Freitag, Shahin Amiriparian, Sergey Pugachevskiy, Nicholas Cummins, and Björn Schuller. 2018 · 2018
Cited alongside, same era.
Meld: A multimodal multi-party dataset for emotion recognition in conversations
Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Gautam Naik, Erik Cambria, and Rada Mihalcea. 2018 · 2018
Cited alongside, same era.
Deep Representation Learning Techniques for Audio Signal Processing
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Scott Scheidt and Q. B. Chung. 2019 · 2019
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Towards Cross-Modal Pre-Training and Learning Tempo-Spatial Characteristics for Audio Recognition with Convolutional and Recurrent Neural Networks
Shahin Amiriparian, Maurice Gerczuk, Lukas Stappen, Alice Baird, Lukas Koebe, Sandra Ottl, and Björn Schuller. 2020 · 2020
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Ethics and good practice in computational paralinguistics
Anton Batliner, Simone Hantke, and Björn Schuller. 2020 · 2020
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Voice analytics in business research. Conceptual foundations, acoustic feature extraction, and applications
Christian Hildebrand, Fotis Efthymiou, Francesc Busquet, William H. Hampton, Donna L. Hoffman, and Thomas P. Novak. 2020 · 2020
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Semantic space theory: A computational approach to emotion
Alan S Cowen and Dacher Keltner. 2021 · 2021
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Shahin Amiriparian. 2019 · 2019
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Customer relationship management and big data enabled: Personalization & customization of services
Muhammad Anshari, Mohammad Nabil Almunawar, Syamimi Ariff Lim, and Abdullah Al-Mudimigh. 2019 · 2019
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Mapping 24 emotions conveyed by brief human vocalization
Alan S. Cowen, Hillary Anger Elfenbein, Petri Laukka, and Dacher Keltner. 2019a · 2019
Cited alongside, same era.
The primacy of categories in the recognition of 12 emotions in speech prosody across two cultures
Alan S Cowen, Petri Laukka, Hillary Anger Elfenbein, Runjing Liu, and Dacher Keltner. 2019b · 2019
Cited alongside, same era.
Building Naturalistic Emotionally Balanced Speech Corpus by Retrieving Emotional Speech From Existing Podcast Recordings
Reza Lotfian and Carlos Busso. 2019 · 2019
Cited alongside, same era.
Snore Sound Classification Using Image-based Deep Spectrum Features. In
Shahin Amiriparian, Maurice Gerczuk, Sandra Ottl, Nicholas Cummins, Michael Freitag, Sergey Pugachevskiy, and Björn Schuller. 2017b
Cited in the paper.
The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates. In
Björn W. Schuller, Anton Batliner, Christian Bergler, Cecilia Mascolo, Jing Han, Iulia Lefter, Heysem Kaya, Shahin Amiriparian, Alice Baird, Lukas Stappen, Sandra Ottl, Maurice Gerczuk, Panagiotis Tzirakis, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Leon J. M. Rothkrantz, Joeri Zwerts, Jelle Treep, and Casper Kaandorp. 2021 · 2021
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What Do We Hear in the Voice? An Open-Ended Judgment Study of Emotional Speech Prosody
Hillary Anger Elfenbein, Petri Laukka, Jean Althoff, Wanda Chui, Frederick K Iraki, Thomas Rockstuhl, and Nutankumar S. Thingujam. 2022 · 2022
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Prediction of User Request and Complaint in Spoken Customer-Agent Conversations
Nikola Lackovic, Claude Montacié, Gauthier Lalande, and Marie-José Caraty. 2022 · 2022
Later among the works it cites.
The INTERSPEECH 2020 Computational Paralinguistics Challenge: Elderly Emotion, Breathing & Masks. In
Björn W Schuller, Anton Batliner, Christian Bergler, Eva-Maria Messner, Antonia Hamilton, Shahin Amiriparian, Alice Baird, Georgios Rizos, Maximilian Schmitt, Lukas Stappen, et al · 2046
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