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Maurice Gerczuk
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2020 – today
- 2024
- [c24]Shahin Amiriparian
, Lukas Christ
The MuSe 2024 Multimodal Sentiment Analysis Challenge: Social Perception and Humor Recognition. MuSe@ACM Multimedia 2024: 1-9 - [i18]Shahin Amiriparian
Enhancing Suicide Risk Assessment: A Speech-Based Automated Approach in Emergency Medicine. CoRR abs/2404.12132 (2024) - [i17]Andreas Triantafyllopoulos, Anton Batliner, Wolfgang Mayr, Markus Fendler, Florian B. Pokorny, Maurice Gerczuk, Shahin Amiriparian
Sustained Vowels for Pre- vs Post-Treatment COPD Classification. CoRR abs/2406.06355 (2024) - [i16]Shahin Amiriparian, Lukas Christ, Alexander Kathan, Maurice Gerczuk, Niklas Müller, Steffen Klug, Lukas Stappen, Andreas König, Erik Cambria, Björn W. Schuller, Simone Eulitz:
The MuSe 2024 Multimodal Sentiment Analysis Challenge: Social Perception and Humor Recognition. CoRR abs/2406.07753 (2024) - [i15]Shahin Amiriparian, Filip Packan, Maurice Gerczuk, Björn W. Schuller:
ExHuBERT: Enhancing HuBERT Through Block Extension and Fine-Tuning on 37 Emotion Datasets. CoRR abs/2406.10275 (2024) - [i14]Maurice Gerczuk, Shahin Amiriparian, Justina Lutz, Wolfgang Strube, Irina Papazova, Alkomiet Hasan, Björn W. Schuller:
Exploring Gender-Specific Speech Patterns in Automatic Suicide Risk Assessment. CoRR abs/2407.11012 (2024) - 2023
- [j11]Sebastian P. Bayerl
Classification of stuttering - The ComParE challenge and beyond. Comput. Speech Lang. 81: 101519 (2023) - [j10]Björn W. Schuller, Shahin Amiriparian
Computational charisma - A brick by brick blueprint for building charismatic artificial intelligence. Frontiers Comput. Sci. 5 (2023) - [j9]Harry Coppock, Alican Akman, Christian Bergler, Maurice Gerczuk, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia
A summary of the ComParE COVID-19 challenges. Frontiers Digit. Health 5 (2023) - [j8]Andreas Triantafyllopoulos, Alexander Kathan, Alice Baird, Lukas Christ, Alexander Gebhard, Maurice Gerczuk, Vincent Karas, Tobias Hübner, Xin Jing, Shuo Liu, Adria Mallol-Ragolta, Manuel Milling, Sandra Ottl, Anastasia Semertzidou, Srividya Tirunellai Rajamani, Tianhao Yan, Zijiang Yang, Judith Dineley, Shahin Amiriparian
HEAR4Health: a blueprint for making computer audition a staple of modern healthcare. Frontiers Digit. Health 5 (2023) - [j7]Maurice Gerczuk
Zero-shot personalization of speech foundation models for depressed mood monitoring. Patterns 4(11): 100873 (2023) - [j6]Maurice Gerczuk
EmoNet: A Transfer Learning Framework for Multi-Corpus Speech Emotion Recognition. IEEE Trans. Affect. Comput. 14(2): 1472-1487 (2023) - [c23]Shahin Amiriparian
Universal Lesion Detection Utilising Cascading R-CNNs and a Novel Video Pretraining Method. EMBC 2023: 1-4 - [c22]Maurice Gerczuk, Shahin Amiriparian
Noise Robust Recognition of Depression Status and Treatment Response from Speech via Unsupervised Feature Aggregation. EMBC 2023: 1-4 - [c21]Shahin Amiriparian
Speech-Based Classification of Defensive Communication: A Novel Dataset and Results. INTERSPEECH 2023: 2703-2707 - [c20]Andreas Triantafyllopoulos, Alexander Gebhard, Alexander Kathan, Maurice Gerczuk, Shahin Amiriparian
Analysis and automatic prediction of exertion from speech: Contrasting objective and subjective measures collected while running. INTERSPEECH 2023: 4144-4148 - [c19]Björn W. Schuller
The ACM Multimedia 2023 Computational Paralinguistics Challenge: Emotion Share & Requests. ACM Multimedia 2023: 9635-9639 - [c18]Alexander Kathan
Personalised Speech-Based Heart Rate Categorisation Using Weighted-Instance Learning. MMSports@MM 2023: 9-13 - [i13]Björn W. Schuller, Shahin Amiriparian
Computational Charisma - A Brick by Brick Blueprint for Building Charismatic Artificial Intelligence. CoRR abs/2301.00142 (2023) - [i12]Andreas Triantafyllopoulos, Alexander Kathan, Alice Baird, Lukas Christ, Alexander Gebhard, Maurice Gerczuk, Vincent Karas, Tobias Hübner, Xin Jing, Shuo Liu, Adria Mallol-Ragolta, Manuel Milling, Sandra Ottl, Anastasia Semertzidou, Srividya Tirunellai Rajamani, Tianhao Yan, Zijiang Yang, Judith Dineley, Shahin Amiriparian
HEAR4Health: A blueprint for making computer audition a staple of modern healthcare. CoRR abs/2301.10477 (2023) - [i11]Björn W. Schuller, Anton Batliner, Shahin Amiriparian
The ACM Multimedia 2023 Computational Paralinguistics Challenge: Emotion Share & Requests. CoRR abs/2304.14882 (2023) - 2022
- [j5]Alexander Kathan, Mathias Harrer
Personalised depression forecasting using mobile sensor data and ecological momentary assessment. Frontiers Digit. Health 4 (2022) - [j4]Shahin Amiriparian
DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing From Decentralized Data. Frontiers Artif. Intell. 5: 856232 (2022) - [c17]Andreas Triantafyllopoulos, Sandra Ottl, Alexander Gebhard, Esther Rituerto-González, Mirko Jaumann, Steffen Hüttner, Valerie Dieter, Patrick Schneeweiß, Inga Krauß, Maurice Gerczuk, Shahin Amiriparian
Fatigue Prediction in Outdoor Running Conditions using Audio Data. EMBC 2022: 2623-2626 - [c16]Andreas Triantafyllopoulos, Markus Fendler, Anton Batliner, Maurice Gerczuk, Shahin Amiriparian
Distinguishing between pre- and post-treatment in the speech of patients with chronic obstructive pulmonary disease. INTERSPEECH 2022: 3623-3627 - [c15]Alexander Gebhard, Andreas Triantafyllopoulos, Shahin Amiriparian
Improving Exertion and Wellbeing Prediction in Outdoor Running Conditions using Audio-based Surface Recognition. MMSports@MM 2022: 19-27 - [c14]Björn W. Schuller, Anton Batliner, Shahin Amiriparian
The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitoes. ACM Multimedia 2022: 7120-7124 - [i10]Harry Coppock, Alican Akman, Christian Bergler, Maurice Gerczuk, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Jing Han, Shahin Amiriparian, Alice Baird, Lukas Stappen, Sandra Ottl, Panagiotis Tzirakis, Anton Batliner, Cecilia Mascolo, Björn W. Schuller:
A Summary of the ComParE COVID-19 Challenges. CoRR abs/2202.08981 (2022) - [i9]Andreas Triantafyllopoulos, Sandra Ottl, Alexander Gebhard, Esther Rituerto-González, Mirko Jaumann, Steffen Hüttner, Valerie Dieter, Patrick Schneeweiß, Inga Krauß, Maurice Gerczuk, Shahin Amiriparian
Fatigue Prediction in Outdoor Running Conditions using Audio Data. CoRR abs/2205.04343 (2022) - [i8]Björn W. Schuller, Anton Batliner, Shahin Amiriparian
The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitoes. CoRR abs/2205.06799 (2022) - [i7]Andreas Triantafyllopoulos, Markus Fendler, Anton Batliner, Maurice Gerczuk, Shahin Amiriparian
Distinguishing between pre- and post-treatment in the speech of patients with chronic obstructive pulmonary disease. CoRR abs/2207.12784 (2022) - 2021
- [c13]Björn W. Schuller, Anton Batliner, Christian Bergler, Cecilia Mascolo, Jing Han, Iulia Lefter, Heysem Kaya
The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates. Interspeech 2021: 431-435 - [i6]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, Léon J. M. Rothkrantz, Joeri A. Zwerts
The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates. CoRR abs/2102.13468 (2021) - [i5]Maurice Gerczuk, Shahin Amiriparian, Sandra Ottl, Björn W. Schuller:
EmoNet: A Transfer Learning Framework for Multi-Corpus Speech Emotion Recognition. CoRR abs/2103.08310 (2021) - [i4]Shahin Amiriparian, Artem Sokolov, Ilhan Aslan, Lukas Christ, Maurice Gerczuk, Tobias Hübner, Dmitry Lamanov, Manuel Milling, Sandra Ottl, Ilya Poduremennykh, Evgeniy Shuranov, Björn W. Schuller:
On the Impact of Word Error Rate on Acoustic-Linguistic Speech Emotion Recognition: An Update for the Deep Learning Era. CoRR abs/2104.10121 (2021) - [i3]Shahin Amiriparian, Tobias Hübner, Maurice Gerczuk, Sandra Ottl, Björn W. Schuller:
DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing from Decentralised Data. CoRR abs/2104.11629 (2021) - [i2]Sandra Ottl, Shahin Amiriparian, Maurice Gerczuk, Björn W. Schuller:
A Machine Learning Framework for Automatic Prediction of Human Semen Motility. CoRR abs/2109.08049 (2021) - 2020
- [j3]Shahin Amiriparian
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(1): 19 (2020) - [j2]Shahin Amiriparian
"Are You Playing a Shooter Again?!" Deep Representation Learning for Audio-Based Video Game Genre Recognition. IEEE Trans. Games 12(2): 145-154 (2020) - [c12]Sandra Ottl, Shahin Amiriparian
Group-level Speech Emotion Recognition Utilising Deep Spectrum Features. ICMI 2020: 821-826 - [c11]Maurice Gerczuk, Shahin Amiriparian, Sandra Ottl, Srividya Tirunellai Rajamani, Björn W. Schuller:
Emotion and Themes Recognition in Music with Convolutional and Recurrent Attention-Blocks. MediaEval 2020 - [c10]Shahin Amiriparian
Unsupervised Representation Learning with Attention and Sequence to Sequence Autoencoders to Predict Sleepiness From Speech. MuSe @ ACM Multimedia 2020: 11-17 - [i1]Shahin Amiriparian, Pawel Winokurow, Vincent Karas, Sandra Ottl, Maurice Gerczuk, Björn W. Schuller:
A Novel Fusion of Attention and Sequence to Sequence Autoencoders to Predict Sleepiness From Speech. CoRR abs/2005.08722 (2020)
2010 – 2019
- 2019
- [j1]Shahin Amiriparian
Synchronization in Interpersonal Speech. Frontiers Robotics AI 6: 116 (2019) - [c9]Shahin Amiriparian
Audio-based Recognition of Bipolar Disorder Utilising Capsule Networks. IJCNN 2019: 1-7 - [c8]Shahin Amiriparian, Maurice Gerczuk, Eduardo Coutinho, Alice Baird, Sandra Ottl, Manuel Milling, Björn W. Schuller:
Emotion and Themes Recognition in Music Utilising Convolutional and Recurrent Neural Networks. MediaEval 2019 - 2018
- [c7]Shahin Arniriparian
A Fusion of Deep Convolutional Generative Adversarial Networks and Sequence to Sequence Autoencoders for Acoustic Scene Classification. EUSIPCO 2018: 977-981 - [c6]Nicholas Cummins, Shahin Amiriparian
Multimodal Bag-of-Words for Cross Domains Sentiment Analysis. ICASSP 2018: 4954-4958 - [c5]Shahin Amiriparian
Bag-of-Deep-Features: Noise-Robust Deep Feature Representations for Audio Analysis. IJCNN 2018: 1-7 - 2017
- [c4]Shahin Amiriparian
Sentiment analysis using image-based deep spectrum features. ACII Workshops 2017: 26-29 - [c3]Alice Baird, Shahin Amiriparian
Automatic Classification of Autistic Child Vocalisations: A Novel Database and Results. INTERSPEECH 2017: 849-853 - [c2]Michael Freitag, Shahin Amiriparian
An 'End-to-Evolution' Hybrid Approach for Snore Sound Classification. INTERSPEECH 2017: 3507-3511 - [c1]Shahin Amiriparian
Snore Sound Classification Using Image-Based Deep Spectrum Features. INTERSPEECH 2017: 3512-3516
Coauthor Index
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last updated on 2024-12-02 21:25 CET by the dblp team
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