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Shahin Amiriparian
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2020 – today
- 2024
- [j15]Mani Kumar Tellamekala
, Shahin Amiriparian
COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 46(2): 805-822 (2024) - [c56]Lukas Christ, Shahin Amiriparian, Manuel Milling, Ilhan Aslan, Björn W. Schuller:
Modeling Emotional Trajectories in Written Stories Utilizing Transformers and Weakly-Supervised Learning. ACL (Findings) 2024: 7144-7159 - [c55]Shahin Amiriparian
The MuSe 2024 Multimodal Sentiment Analysis Challenge: Social Perception and Humor Recognition. MuSe@ACM Multimedia 2024: 1-9 - [c54]Lukas Christ
MuSe '24: The 5th Multimodal Sentiment Analysis Challenge and Workshop: Social Perception & Humor. MuSe@ACM Multimedia 2024: 10-11 - [e3]Shahin Amiriparian, Lukas Christ, Simone Eulitz, Andreas König, Erik Cambria, Björn W. Schuller:
Proceedings of the 5th on Multimodal Sentiment Analysis Challenge and Workshop: Social Perception and Humor, MuSe2024, Melbourne, VIC, Australia, 28 October 2024- 1 November 2024. ACM 2024, ISBN 979-8-4007-1199-2 [contents] - [i31]Shahin Amiriparian
Enhancing Suicide Risk Assessment: A Speech-Based Automated Approach in Emergency Medicine. CoRR abs/2404.12132 (2024) - [i30]Lukas Christ, Shahin Amiriparian
Modeling Emotional Trajectories in Written Stories Utilizing Transformers and Weakly-Supervised Learning. CoRR abs/2406.02251 (2024) - [i29]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) - [i28]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) - [i27]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) - [i26]Lukas Christ, Shahin Amiriparian, Friederike Hawighorst, Ann-Kathrin Schill, Angelo Boutalikakis, Lorenz Graf-Vlachy, Andreas König, Björn W. Schuller:
This Paper Had the Smartest Reviewers - Flattery Detection Utilising an Audio-Textual Transformer-Based Approach. CoRR abs/2406.17667 (2024) - [i25]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) - [i24]Björn W. Schuller, Adria Mallol-Ragolta, Alejandro Peña Almansa, Iosif Tsangko, Mostafa M. Amin, Anastasia Semertzidou, Lukas Christ, Shahin Amiriparian:
Affective Computing Has Changed: The Foundation Model Disruption. CoRR abs/2409.08907 (2024) - 2023
- [j14]Sebastian P. Bayerl
Classification of stuttering - The ComParE challenge and beyond. Comput. Speech Lang. 81: 101519 (2023) - [j13]Yasaman Boreshban
Improving question answering performance using knowledge distillation and active learning. Eng. Appl. Artif. Intell. 123(Part A): 106137 (2023) - [j12]Björn W. Schuller, Shahin Amiriparian
Computational charisma - A brick by brick blueprint for building charismatic artificial intelligence. Frontiers Comput. Sci. 5 (2023) - [j11]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) - [j10]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) - [j9]Maurice Gerczuk
Zero-shot personalization of speech foundation models for depressed mood monitoring. Patterns 4(11): 100873 (2023) - [j8]Shahin Amiriparian
Guest Editorial: Special Issue on Affective Speech and Language Synthesis, Generation, and Conversion. IEEE Trans. Affect. Comput. 14(1): 3-5 (2023) - [j7]Maurice Gerczuk
EmoNet: A Transfer Learning Framework for Multi-Corpus Speech Emotion Recognition. IEEE Trans. Affect. Comput. 14(2): 1472-1487 (2023) - [c53]Shahin Amiriparian
Universal Lesion Detection Utilising Cascading R-CNNs and a Novel Video Pretraining Method. EMBC 2023: 1-4 - [c52]Maurice Gerczuk, Shahin Amiriparian
Noise Robust Recognition of Depression Status and Treatment Response from Speech via Unsupervised Feature Aggregation. EMBC 2023: 1-4 - [c51]Daniel Lukas Rothenpieler, Shahin Amiriparian
METEOR Guided Divergence for Video Captioning. IJCNN 2023: 1-7 - [c50]Shahin Amiriparian
Speech-Based Classification of Defensive Communication: A Novel Dataset and Results. INTERSPEECH 2023: 2703-2707 - [c49]Alexander Kathan, Andreas Triantafyllopoulos, Shahin Amiriparian
The effect of clinical intervention on the speech of individuals with PTSD: features and recognition performances. INTERSPEECH 2023: 4139-4143 - [c48]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 - [c47]Björn W. Schuller
The ACM Multimedia 2023 Computational Paralinguistics Challenge: Emotion Share & Requests. ACM Multimedia 2023: 9635-9639 - [c46]Shahin Amiriparian
MuSe 2023 Challenge: Multimodal Prediction of Mimicked Emotions, Cross-Cultural Humour, and Personalised Recognition of Affects. ACM Multimedia 2023: 9723-9725 - [c45]Alexander Kathan
Personalised Speech-Based Heart Rate Categorisation Using Weighted-Instance Learning. MMSports@MM 2023: 9-13 - [c44]Lukas Christ
The MuSe 2023 Multimodal Sentiment Analysis Challenge: Mimicked Emotions, Cross-Cultural Humour, and Personalisation. MuSe@ACM Multimedia 2023: 1-10 - [e2]Shahin Amiriparian, Lukas Christ, Andreas König, Alan Cowen, Eva-Maria Meßner, Erik Cambria, Björn W. Schuller:
Proceedings of the 4th on Multimodal Sentiment Analysis Challenge and Workshop: Mimicked Emotions, Humour and Personalisation, MuSe 2023, Ottawa, ON, Canada, 2 November 2023. ACM 2023 [contents] - [i23]Björn W. Schuller, Shahin Amiriparian
Computational Charisma - A Brick by Brick Blueprint for Building Charismatic Artificial Intelligence. CoRR abs/2301.00142 (2023) - [i22]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) - [i21]Björn W. Schuller, Anton Batliner, Shahin Amiriparian
The ACM Multimedia 2023 Computational Paralinguistics Challenge: Emotion Share & Requests. CoRR abs/2304.14882 (2023) - [i20]Lukas Christ, Shahin Amiriparian
The MuSe 2023 Multimodal Sentiment Analysis Challenge: Mimicked Emotions, Cross-Cultural Humour, and Personalisation. CoRR abs/2305.03369 (2023) - 2022
- [j6]Shahin Amiriparian
DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing From Decentralized Data. Frontiers Artif. Intell. 5: 856232 (2022) - [j5]Mostafa M. Mohamed
Face mask recognition from audio: The MASC database and an overview on the mask challenge. Pattern Recognit. 122: 108361 (2022) - [c43]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 - [c42]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 - [c41]Shahin Amiriparian
The Dos and Don'ts of Affect Analysis. MuSe @ ACM Multimedia 2022: 3 - [c40]Lukas Christ, Shahin Amiriparian
The MuSe 2022 Multimodal Sentiment Analysis Challenge: Humor, Emotional Reactions, and Stress. MuSe @ ACM Multimedia 2022: 5-14 - [c39]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 - [c38]Alexander Kathan, Shahin Amiriparian
A Personalised Approach to Audiovisual Humour Recognition and its Individual-level Fairness. MuSe @ ACM Multimedia 2022: 29-36 - [c37]Björn W. Schuller, Anton Batliner, Shahin Amiriparian
The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitoes. ACM Multimedia 2022: 7120-7124 - [c36]Shahin Amiriparian
MuSe 2022 Challenge: Multimodal Humour, Emotional Reactions, and Stress. ACM Multimedia 2022: 7389-7391 - [e1]Shahin Amiriparian, Lukas Christ, Andreas König, Alan Cowen, Eva-Maria Meßner, Erik Cambria, Björn W. Schuller:
MuSe@MM 2022: Proceedings of the 3rd International on Multimodal Sentiment Analysis Workshop and Challenge, Lisboa, Portugal, 10 October 2022. ACM 2022, ISBN 978-1-4503-9484-0 [contents] - [i19]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) - [i18]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) - [i17]Björn W. Schuller, Anton Batliner, Shahin Amiriparian
The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitoes. CoRR abs/2205.06799 (2022) - [i16]Mani Kumar Tellamekala, Shahin Amiriparian
COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition. CoRR abs/2206.05833 (2022) - [i15]Lukas Christ, Shahin Amiriparian
The MuSe 2022 Multimodal Sentiment Analysis Challenge: Humor, Emotional Reactions, and Stress. CoRR abs/2207.05691 (2022) - [i14]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) - [i13]Lukas Christ, Shahin Amiriparian, Alexander Kathan, Niklas Müller, Andreas König, Björn W. Schuller:
Multimodal Prediction of Spontaneous Humour: A Novel Dataset and First Results. CoRR abs/2209.14272 (2022) - [i12]Daniel Lukas Rothenpieler, Shahin Amiriparian
METEOR Guided Divergence for Video Captioning. CoRR abs/2212.10690 (2022) - [i11]Lukas Christ, Shahin Amiriparian
Automatic Emotion Modelling in Written Stories. CoRR abs/2212.11382 (2022) - 2021
- [c35]Shahin Amiriparian
AI Hears Your Health: Computer Audition for Health Monitoring. IHAW 2021: 227-233 - [c34]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 - [c33]Alice Baird, Shahin Amiriparian
Emotion Recognition in Public Speaking Scenarios Utilising An LSTM-RNN Approach with Attention. SLT 2021: 397-402 - [i10]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) - [i9]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) - [i8]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) - [i7]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) - [i6]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) - [i5]Yasaman Boreshban, Seyed Morteza Mirbostani, Gholamreza Ghassem-Sani, Seyed Abolghasem Mirroshandel, Shahin Amiriparian:
Improving Question Answering Performance Using Knowledge Distillation and Active Learning. CoRR abs/2109.12662 (2021) - 2020
- [j4]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) - [j3]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) - [c32]Sandra Ottl, Shahin Amiriparian
Group-level Speech Emotion Recognition Utilising Deep Spectrum Features. ICMI 2020: 821-826 - [c31]Catarina Botelho, Lorenz Diener, Dennis Küster
Toward Silent Paralinguistics: Speech-to-EMG - Retrieving Articulatory Muscle Activity from Speech. INTERSPEECH 2020: 354-358 - [c30]Björn W. Schuller
The INTERSPEECH 2020 Computational Paralinguistics Challenge: Elderly Emotion, Breathing & Masks. INTERSPEECH 2020: 2042-2046 - [c29]Alexis Deighton MacIntyre
Deep Attentive End-to-End Continuous Breath Sensing from Speech. INTERSPEECH 2020: 2082-2086 - [c28]Lorenz Diener, Shahin Amiriparian
Towards Silent Paralinguistics: Deriving Speaking Mode and Speaker ID from Electromyographic Signals. INTERSPEECH 2020: 3117-3121 - [c27]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 - [c26]Shahin Amiriparian
Unsupervised Representation Learning with Attention and Sequence to Sequence Autoencoders to Predict Sleepiness From Speech. MuSe @ ACM Multimedia 2020: 11-17 - [i4]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) - [i3]Katrin D. Bartl-Pokorny
The voice of COVID-19: Acoustic correlates of infection. CoRR abs/2012.09478 (2020)
2010 – 2019
- 2019
- [b1]Shahin Amiriparian:
Deep Representation Learning Techniques for Audio Signal Processing. Technical University of Munich, Germany, 2019 - [j2]Shahin Amiriparian
Synchronization in Interpersonal Speech. Frontiers Robotics AI 6: 116 (2019) - [c25]Shahin Amiriparian
Audio-based Recognition of Bipolar Disorder Utilising Capsule Networks. IJCNN 2019: 1-7 - [c24]Alice Baird, Shahin Amiriparian
Using Speech to Predict Sequentially Measured Cortisol Levels During a Trier Social Stress Test. INTERSPEECH 2019: 534-538 - [c23]Björn W. Schuller
The INTERSPEECH 2019 Computational Paralinguistics Challenge: Styrian Dialects, Continuous Sleepiness, Baby Sounds & Orca Activity. INTERSPEECH 2019: 2378-2382 - [c22]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 - [c21]Fabien Ringeval, Björn W. Schuller
AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition. AVEC@MM 2019: 3-12 - [c20]Alice Baird, Shahin Amiriparian
Predicting Biological Signals from Speech: Introducing a Novel Multimodal Dataset and Results. MMSP 2019: 1-5 - [c19]Alice Baird, Shahin Amiriparian
Can Deep Generative Audio be Emotional? Towards an Approach for Personalised Emotional Audio Generation. MMSP 2019: 1-5 - [p1]Shahin Amiriparian
Humans Inside: Cooperative Big Multimedia Data Mining. Innovations in Big Data Mining and Embedded Knowledge 2019: 235-257 - [i2]Fabien Ringeval, Björn W. Schuller, Michel F. Valstar, Nicholas Cummins, Roddy Cowie, Leili Tavabi, Maximilian Schmitt, Sina Alisamir, Shahin Amiriparian, Eva-Maria Meßner, Siyang Song, Shuo Liu, Ziping Zhao, Adria Mallol-Ragolta, Zhao Ren, Mohammad Soleymani, Maja Pantic:
AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition. CoRR abs/1907.11510 (2019) - 2018
- [c18]Fatih Demir
Low Level Texture Features for Snore Sound Discrimination. EMBC 2018: 413-416 - [c17]Shahin Amiriparian
Deep Unsupervised Representation Learning for Abnormal Heart Sound Classification. EMBC 2018: 4776-4779 - [c16]Nicholas Cummins, Shahin Amiriparian
Multimodal Bag-of-Words for Cross Domains Sentiment Analysis. ICASSP 2018: 4954-4958 - [c15]Shahin Amiriparian
Bag-of-Deep-Features: Noise-Robust Deep Feature Representations for Audio Analysis. IJCNN 2018: 1-7 - [c14]Björn W. Schuller
The INTERSPEECH 2018 Computational Paralinguistics Challenge: Atypical & Self-Assessed Affect, Crying & Heart Beats. INTERSPEECH 2018: 122-126 - [c13]Shahin Amiriparian
Recognition of Echolalic Autistic Child Vocalisations Utilising Convolutional Recurrent Neural Networks. INTERSPEECH 2018: 2334-2338 - [c12]Fabien Ringeval, Björn W. Schuller
AVEC 2018 Workshop and Challenge: Bipolar Disorder and Cross-Cultural Affect Recognition. AVEC@MM 2018: 3-13 - 2017
- [j1]Michael Freitag, Shahin Amiriparian, Sergey Pugachevskiy, Nicholas Cummins, Björn W. Schuller:
auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networks. J. Mach. Learn. Res. 18: 173:1-173:5 (2017) - [c11]Shahin Amiriparian
Sentiment analysis using image-based deep spectrum features. ACII Workshops 2017: 26-29 - [c10]Shahin Amiriparian
Feature selection in multimodal continuous emotion prediction. ACII Workshops 2017: 30-37 - [c9]Shahin Amiriparian
CAST a database: Rapid targeted large-scale big data acquisition via small-world modelling of social media platforms. ACII 2017: 340-345 - [c8]Shahin Amiriparian, Michael Freitag, Nicholas Cummins, Björn W. Schuller:
Sequence to Sequence Autoencoders for Unsupervised Representation Learning from Audio. DCASE 2017: 17-21 - [c7]Nicholas Cummins
"You sound ill, take the day off": Automatic recognition of speech affected by upper respiratory tract infection. EMBC 2017: 3806-3809 - [c6]Alice Baird, Shahin Amiriparian
Automatic Classification of Autistic Child Vocalisations: A Novel Database and Results. INTERSPEECH 2017: 849-853 - [c5]Michael Freitag, Shahin Amiriparian
An 'End-to-Evolution' Hybrid Approach for Snore Sound Classification. INTERSPEECH 2017: 3507-3511 - [c4]Shahin Amiriparian
Snore Sound Classification Using Image-Based Deep Spectrum Features. INTERSPEECH 2017: 3512-3516 - [c3]Nicholas Cummins
An Image-based Deep Spectrum Feature Representation for the Recognition of Emotional Speech. ACM Multimedia 2017: 478-484 - [i1]Michael Freitag, Shahin Amiriparian, Sergey Pugachevskiy, Nicholas Cummins, Björn W. Schuller:
auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networks. CoRR abs/1712.04382 (2017) - 2016
- [c2]Shahin Amiriparian
Is Deception Emotional? An Emotion-Driven Predictive Approach. INTERSPEECH 2016: 2011-2015 - 2014
- [c1]Fabien Ringeval, Shahin Amiriparian
Emotion Recognition in the Wild: Incorporating Voice and Lip Activity in Multimodal Decision-Level Fusion. ICMI 2014: 473-480
Coauthor Index
Alice Baird
aka: Alice E. Baird
aka: Alice E. Baird
Eva-Maria Messner
aka: Eva-Maria Meßner
aka: Eva-Maria Meßner
[j15] [c56] [c55] [c54] [e3] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [j14] [j12] [j11] [j10] [j9] [j8] [j7] [c53] [c52] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [e2] [i23] [i22] [i21] [i20] [j6] [j5] [c43] [c42] [c40] [c39] [c38] [c37] [c36] [e1] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i11] [c35] [c34] [c33] [i10] [i9] [i8] [i7] [i6] [j4] [j3] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [i4] [i3] [j2] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [p1] [i2] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [j1] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [i1] [c2] [c1]
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