Maurice Gerczuk
Maurice Gerczuk
Universität Passau, Universität Augsburg
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Zitiert von
Zitiert von
Snore sound classification using image-based deep spectrum features
S Amiriparian, M Gerczuk, S Ottl, N Cummins, M Freitag, S Pugachevskiy, ...
The INTERSPEECH 2021 computational paralinguistics challenge: COVID-19 cough, COVID-19 speech, escalation & primates
BW Schuller, A Batliner, C Bergler, C Mascolo, J Han, I Lefter, H Kaya, ...
arXiv preprint arXiv:2102.13468, 2021
Multimodal bag-of-words for cross domains sentiment analysis
N Cummins, S Amiriparian, S Ottl, M Gerczuk, M Schmitt, B Schuller
2018 IEEE international conference on acoustics, speech and signal …, 2018
Emonet: A transfer learning framework for multi-corpus speech emotion recognition
M Gerczuk, S Amiriparian, S Ottl, BW Schuller
IEEE Transactions on Affective Computing 14 (2), 1472-1487, 2021
Automatic classification of autistic child vocalisations: A novel database and results
A Baird, S Amiriparian, N Cummins, AM Alcorn, A Batliner, ...
Bag-of-deep-features: Noise-robust deep feature representations for audio analysis
S Amiriparian, M Gerczuk, S Ottl, N Cummins, S Pugachevskiy, B Schuller
2018 International Joint Conference on Neural Networks (IJCNN), 1-7, 2018
Sentiment analysis using image-based deep spectrum features
S Amiriparian, N Cummins, S Ottl, M Gerczuk, B Schuller
2017 Seventh International Conference on Affective Computing and Intelligent …, 2017
The ACM multimedia 2022 computational paralinguistics challenge: Vocalisations, stuttering, activity, & mosquitoes
B Schuller, A Batliner, S Amiriparian, C Bergler, M Gerczuk, N Holz, ...
Proceedings of the 30th ACM International Conference on Multimedia, 7120-7124, 2022
An'end-to-evolution'hybrid approach for snore sound classification
M Freitag, S Amiriparian, N Cummins, M Gerczuk, B Schuller
Group-level speech emotion recognition utilising deep spectrum features
S Ottl, S Amiriparian, M Gerczuk, V Karas, B Schuller
Proceedings of the 2020 International Conference on Multimodal Interaction …, 2020
“are you playing a shooter again?!” deep representation learning for audio-based video game genre recognition
S Amiriparian, N Cummins, M Gerczuk, S Pugachevskiy, S Ottl, B Schuller
IEEE Transactions on Games 12 (2), 145-154, 2019
Deepspectrumlite: A power-efficient transfer learning framework for embedded speech and audio processing from decentralized data
S Amiriparian, T Hübner, V Karas, M Gerczuk, S Ottl, BW Schuller
Frontiers in Artificial Intelligence 5, 856232, 2022
Audio-based recognition of bipolar disorder utilising capsule networks
S Amiriparian, A Awad, M Gerczuk, L Stappen, A Baird, S Ottl, B Schuller
2019 international joint conference on neural networks (IJCNN), 1-7, 2019
Towards cross-modal pre-training and learning tempo-spatial characteristics for audio recognition with convolutional and recurrent neural networks
S Amiriparian, M Gerczuk, S Ottl, L Stappen, A Baird, L Koebe, B Schuller
EURASIP Journal on Audio, Speech, and Music Processing 2020, 1-11, 2020
A fusion of deep convolutional generative adversarial networks and sequence to sequence autoencoders for acoustic scene classification
S Arniriparian, M Freitag, N Cummins, M Gerczuk, S Pugachevskiy, ...
2018 26th European signal processing conference (EUSIPCO), 977-981, 2018
On the impact of word error rate on acoustic-linguistic speech emotion recognition: An update for the deep learning era
S Amiriparian, A Sokolov, I Aslan, L Christ, M Gerczuk, T Hübner, ...
arXiv preprint arXiv:2104.10121, 2021
Personalised depression forecasting using mobile sensor data and ecological momentary assessment
A Kathan, M Harrer, L Küster, A Triantafyllopoulos, X He, M Milling, ...
Frontiers in digital health 4, 964582, 2022
Emotion and themes recognition in music utilising convolutional and recurrent neural networks
S Amiriparian, M Gerczuk, E Coutinho, A Baird, S Ottl, M Milling, ...
CEUR Workshop Proceedings 2670, 2019
Synchronization in interpersonal speech
S Amiriparian, J Han, M Schmitt, A Baird, A Mallol-Ragolta, M Milling, ...
Frontiers in Robotics and AI 6, 116, 2019
motilitAI: A machine learning framework for automatic prediction of human sperm motility
S Ottl, S Amiriparian, M Gerczuk, BW Schuller
iscience 25 (8), 2022
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