Maurice Gerczuk
Orcid: 0000-0001-8293-6635
According to our database1,
Maurice Gerczuk
authored at least 43 papers
between 2017 and 2024.
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Bibliography
2024
CoRR, 2024
ExHuBERT: Enhancing HuBERT Through Block Extension and Fine-Tuning on 37 Emotion Datasets.
CoRR, 2024
Enhancing Suicide Risk Assessment: A Speech-Based Automated Approach in Emergency Medicine.
CoRR, 2024
The MuSe 2024 Multimodal Sentiment Analysis Challenge: Social Perception and Humor Recognition.
Proceedings of the 5th on Multimodal Sentiment Analysis Challenge and Workshop: Social Perception and Humor, 2024
2023
Patterns, November, 2023
Comput. Speech Lang., June, 2023
Frontiers Digit. Health, May, 2023
IEEE Trans. Affect. Comput., 2023
Computational charisma - A brick by brick blueprint for building charismatic artificial intelligence.
Frontiers Comput. Sci., 2023
Personalised Speech-Based Heart Rate Categorisation Using Weighted-Instance Learning.
Proceedings of the 6th International Workshop on Multimedia Content Analysis in Sports, 2023
The ACM Multimedia 2023 Computational Paralinguistics Challenge: Emotion Share & Requests.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Analysis and automatic prediction of exertion from speech: Contrasting objective and subjective measures collected while running.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
Noise Robust Recognition of Depression Status and Treatment Response from Speech via Unsupervised Feature Aggregation.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Universal Lesion Detection Utilising Cascading R-CNNs and a Novel Video Pretraining Method.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing From Decentralized Data.
Frontiers Artif. Intell., 2022
Personalised depression forecasting using mobile sensor data and ecological momentary assessment.
Frontiers Digit. Health, 2022
The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitoes.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Improving Exertion and Wellbeing Prediction in Outdoor Running Conditions using Audio-based Surface Recognition.
Proceedings of the MMSports@MM 2022: Proceedings of the 5th International ACM Workshop on Multimedia Content Analysis in Sports, 2022
Distinguishing between pre- and post-treatment in the speech of patients with chronic obstructive pulmonary disease.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
CoRR, 2021
DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing from Decentralised Data.
CoRR, 2021
On the Impact of Word Error Rate on Acoustic-Linguistic Speech Emotion Recognition: An Update for the Deep Learning Era.
CoRR, 2021
The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021
2020
"Are You Playing a Shooter Again?!" Deep Representation Learning for Audio-Based Video Game Genre Recognition.
IEEE Trans. Games, 2020
Towards cross-modal pre-training and learning tempo-spatial characteristics for audio recognition with convolutional and recurrent neural networks.
EURASIP J. Audio Speech Music. Process., 2020
A Novel Fusion of Attention and Sequence to Sequence Autoencoders to Predict Sleepiness From Speech.
CoRR, 2020
Unsupervised Representation Learning with Attention and Sequence to Sequence Autoencoders to Predict Sleepiness From Speech.
Proceedings of the MuSe'20: Proceedings of the 1st International on Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop, 2020
Emotion and Themes Recognition in Music with Convolutional and Recurrent Attention-Blocks.
Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020
Proceedings of the ICMI '20: International Conference on Multimodal Interaction, 2020
2019
Emotion and Themes Recognition in Music Utilising Convolutional and Recurrent Neural Networks.
Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
A Fusion of Deep Convolutional Generative Adversarial Networks and Sequence to Sequence Autoencoders for Acoustic Scene Classification.
Proceedings of the 26th European Signal Processing Conference, 2018
2017
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017
Automatic Classification of Autistic Child Vocalisations: A Novel Database and Results.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017
Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, 2017