Maurice Gerczuk

Orcid: 0000-0001-8293-6635

According to our database1, Maurice Gerczuk authored at least 36 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Zero-shot personalization of speech foundation models for depressed mood monitoring.
Patterns, November, 2023

Classification of stuttering - The ComParE challenge and beyond.
Comput. Speech Lang., June, 2023

HEAR4Health: a blueprint for making computer audition a staple of modern healthcare.
Frontiers Digit. Health, May, 2023

A summary of the ComParE COVID-19 challenges.
Frontiers Digit. Health, March, 2023

EmoNet: A Transfer Learning Framework for Multi-Corpus Speech Emotion Recognition.
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

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 Interspeech 2022, 2022

Fatigue Prediction in Outdoor Running Conditions using Audio Data.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
A Machine Learning Framework for Automatic Prediction of Human Semen Motility.
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 Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 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

Group-level Speech Emotion Recognition Utilising Deep Spectrum Features.
Proceedings of the ICMI '20: International Conference on Multimodal Interaction, 2020

2019
Synchronization in Interpersonal Speech.
Frontiers Robotics AI, 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

Audio-based Recognition of Bipolar Disorder Utilising Capsule Networks.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Bag-of-Deep-Features: Noise-Robust Deep Feature Representations for Audio Analysis.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Multimodal Bag-of-Words for Cross Domains Sentiment Analysis.
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
An 'End-to-Evolution' Hybrid Approach for Snore Sound Classification.
Proceedings of the Interspeech 2017, 2017

Automatic Classification of Autistic Child Vocalisations: A Novel Database and Results.
Proceedings of the Interspeech 2017, 2017

Snore Sound Classification Using Image-Based Deep Spectrum Features.
Proceedings of the Interspeech 2017, 2017

Sentiment analysis using image-based deep spectrum features.
Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, 2017


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