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ORCIDNicholas Cummins
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- affiliation: University of Augsburg, Department of Computer Science, Germany
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2020 – today
- 2023
[j27]Yuezhou Zhang
, Abhishek Pratap, Amos A. Folarin, Shaoxiong Sun, Nicholas Cummins, Faith Matcham, Srinivasan Vairavan, Judith Dineley, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Callum L. Stewart, Katie M. White, Carolin Oetzmann, Alina Ivan, Femke Lamers, Sara Siddi, Carla Hernández Rambla, Sara Simblett, Raluca Nica, David C. Mohr, Inez Myin-Germeys, Til Wykes, Josep Maria Haro, Brenda W. J. H. Penninx, Peter Annas, Vaibhav A. Narayan, Matthew Hotopf, Richard J. B. Dobson:
Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study. npj Digit. Medicine 6 (2023)- [j26]Spyridon Kontaxis, Estela Laporta, Esther García, Matteo Martinis, Letizia Leocani, Lucia Roselli, Mathias Due Buron, Ana Isabel Guerrero, Ana Zabalza, Nicholas Cummins, Srinivasan Vairavan, Matthew Hotopf, Richard J. B. Dobson, Vaibhav A. Narayan, Maria Libera La Porta, Gloria Dalla Costa, Melinda Magyari, Per Soelberg Sørensen, Carlos Nos, Raquel Bailón, Giancarlo Comi, RADAR-CNS Consortium:
Automatic Assessment of the 2-Minute Walk Distance for Remote Monitoring of People with Multiple Sclerosis. Sensors 23(13): 6017 (2023) - [i15]Judith Dineley, Ewan Carr, Faith Matcham, Johnny Downs, Richard J. B. Dobson, Thomas F. Quatieri, Nicholas Cummins:
Towards robust paralinguistic assessment for real-world mobile health (mHealth) monitoring: an initial study of reverberation effects on speech. CoRR abs/2305.12514 (2023) - [i14]Yuezhou Zhang, Amos A. Folarin, Judith Dineley, Pauline Conde, Valeria de Angel, Shaoxiong Sun, Yatharth Ranjan, Zulqarnain Rashid, Callum L. Stewart, Petroula Laiou, Heet Sankesara, Linglong Qian, Faith Matcham, Katie M. White, Carolin Oetzmann, Femke Lamers, Sara Siddi, Sara Simblett, Björn W. Schuller, Srinivasan Vairavan, Til Wykes, Josep Maria Haro, Brenda W. J. H. Penninx, Vaibhav A. Narayan, Matthew Hotopf, Richard J. B. Dobson, Nicholas Cummins, RADAR-CNS Consortium:
Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model. CoRR abs/2308.11773 (2023) - 2022
- [j25]Shaoxiong Sun, Amos A. Folarin, Yuezhou Zhang, Nicholas Cummins, Shuo Liu, Callum L. Stewart, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Petroula Laiou, Heet Sankesara, Gloria Dalla Costa, Letizia Leocani, Per Soelberg Sørensen, Melinda Magyari, Ana Isabel Guerrero, Ana Zabalza, Srinivasan Vairavan, Raquel Bailón, Sara Simblett, Inez Myin-Germeys, Aki Rintala, Til Wykes, Vaibhav A. Narayan, Matthew Hotopf, Giancarlo Comi, Richard J. B. Dobson:
The utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditions. Comput. Methods Programs Biomed. 227: 107204 (2022) - [j24]Manuel Milling, Alice Baird, Katrin D. Bartl-Pokorny, Shuo Liu, Alyssa M. Alcorn, Jie Shen, Teresa Tavassoli, Eloise Ainger, Elizabeth Pellicano, Maja Pantic, Nicholas Cummins, Björn W. Schuller:
Evaluating the Impact of Voice Activity Detection on Speech Emotion Recognition for Autistic Children. Frontiers Comput. Sci. 4 (2022) - [j23]Shuo Liu, Jing Han, Estela Laporta Puyal, Spyridon Kontaxis, Shaoxiong Sun, Patrick Locatelli, Judith Dineley, Florian B. Pokorny, Gloria Dalla Costa, Letizia Leocani, Ana Isabel Guerrero, Carlos Nos, Ana Zabalza, Per Soelberg Sørensen, Mathias Buron, Melinda Magyari, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Callum L. Stewart, Amos A. Folarin, Richard J. B. Dobson, Raquel Bailón, Srinivasan Vairavan, Nicholas Cummins, Vaibhav A. Narayan, Matthew Hotopf, Giancarlo Comi, Björn W. Schuller, RADAR-CNS Consortium:
Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder. Pattern Recognit. 123: 108403 (2022) - [j22]Agnieszka Landowska, Aleksandra Karpus, Teresa Zawadzka, Ben Robins, Duygun Erol Barkana, Hatice Kose, Tatjana Zorcec, Nicholas Cummins:
Automatic Emotion Recognition in Children with Autism: A Systematic Literature Review. Sensors 22(4): 1649 (2022) - [j21]Xinzhou Xu, Jun Deng, Nicholas Cummins, Zixing Zhang, Li Zhao, Björn W. Schuller:
Exploring Zero-Shot Emotion Recognition in Speech Using Semantic-Embedding Prototypes. IEEE Trans. Multim. 24: 2752-2765 (2022) - [c78]Salvatore Fara, Stefano Goria, Emilia Molimpakis, Nicholas Cummins:
Speech and the n-Back task as a lens into depression. How combining both may allow us to isolate different core symptoms of depression. INTERSPEECH 2022: 1911-1915 - [c77]Bahman Mirheidari, André Bittar, Nicholas Cummins, Johnny Downs, Helen L. Fisher, Heidi Christensen:
Automatic Detection of Expressed Emotion from Five-Minute Speech Samples: Challenges and Opportunities. INTERSPEECH 2022: 2458-2462 - [i13]Bahman Mirheidari, André Bittar, Nicholas Cummins, Johnny Downs, Helen L. Fisher, Heidi Christensen:
Automatic Detection of Expressed Emotion from Five-Minute Speech Samples: Challenges and Opportunities. CoRR abs/2203.17242 (2022) - [i12]Salvatore Fara, Stefano Goria, Emilia Molimpakis, Nicholas Cummins:
Speech and the n-Back task as a lens into depression. How combining both may allow us to isolate different core symptoms of depression. CoRR abs/2204.00088 (2022) - [i11]Salvatore Fara, Orlaith Hickey, Alexandra Livia Georgescu, Stefano Goria, Emilia Molimpakis, Nicholas Cummins:
Utilising Bayesian Networks to combine multimodal data and expert opinion for the robust prediction of depression and its symptoms. CoRR abs/2211.04924 (2022) - 2021
- [j20]Benjamin Sertolli, Zhao Ren, Björn W. Schuller, Nicholas Cummins:
Representation transfer learning from deep end-to-end speech recognition networks for the classification of health states from speech. Comput. Speech Lang. 68: 101204 (2021) - [j19]Ziping Zhao, Qifei Li, Zixing Zhang, Nicholas Cummins, Haishuai Wang, Jianhua Tao, Björn W. Schuller:
Combining a parallel 2D CNN with a self-attention Dilated Residual Network for CTC-based discrete speech emotion recognition. Neural Networks 141: 52-60 (2021) - [j18]Kazi Nazmul Haque, Rajib Rana, Jiajun Liu, John H. L. Hansen, Nicholas Cummins, Carlos Busso, Björn W. Schuller:
Guided Generative Adversarial Neural Network for Representation Learning and Audio Generation Using Fewer Labelled Audio Data. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2575-2590 (2021) - [j17]Bob R. Schadenberg, Dennis Reidsma, Vanessa Evers, Daniel P. Davison, Jamy J. Li, Dirk K. J. Heylen, Carlos Neves, Paulo Alvito, Jie Shen, Maja Pantic, Björn W. Schuller, Nicholas Cummins, Vlad Olaru, Cristian Sminchisescu, Snezana Babovic Dimitrijevic, Suncica Petrovic, Aurelie Baranger, Alria Williams, Alyssa M. Alcorn, Elizabeth Pellicano:
Predictable Robots for Autistic Children - Variance in Robot Behaviour, Idiosyncrasies in Autistic Children's Characteristics, and Child-Robot Engagement. ACM Trans. Comput. Hum. Interact. 28(5): 36:1-36:42 (2021) - [j16]Ziping Zhao, Zhongtian Bao, Zixing Zhang, Nicholas Cummins, Shihuang Sun, Haishuai Wang, Jianhua Tao, Björn W. Schuller:
Self-attention transfer networks for speech emotion recognition. Virtual Real. Intell. Hardw. 3(1): 43-54 (2021) - [c76]Chao Li, Boyang Chen, Ziping Zhao, Nicholas Cummins, Björn W. Schuller:
Hierarchical Attention-Based Temporal Convolutional Networks for Eeg-Based Emotion Recognition. ICASSP 2021: 1240-1244 - [c75]Oya Çeliktutan, Alexandra Livia Georgescu, Nicholas Cummins:
Socially Informed AI for Healthcare: Understanding and Generating Multimodal Nonverbal Cues. ICMI 2021: 874-876 - [c74]Judith Dineley, Grace Lavelle, Daniel Leightley, Faith Matcham, Sara Siddi, Maria Teresa Peñarrubia-María, Katie M. White, Alina Ivan, Carolin Oetzmann, Sara Simblett, Erin Dawe-Lane, Stuart Bruce, Daniel Stahl, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Amos A. Folarin, Josep Maria Haro, Til Wykes, Richard J. B. Dobson, Vaibhav A. Narayan, Matthew Hotopf, Björn W. Schuller, Nicholas Cummins, RADAR-CNS Consortium:
Remote Smartphone-Based Speech Collection: Acceptance and Barriers in Individuals with Major Depressive Disorder. Interspeech 2021: 631-635 - [i10]Judith Dineley, Grace Lavelle, Daniel Leightley, Faith Matcham, Sara Siddi, Maria Teresa Peñarrubia-María, Katie M. White, Alina Ivan, Carolin Oetzmann, Sara Simblett, Erin Dawe-Lane, Stuart Bruce, Daniel Stahl, Josep Maria Haro, Til Wykes, Vaibhav A. Narayan, Matthew Hotopf, Björn W. Schuller, Nicholas Cummins:
Remote smartphone-based speech collection: acceptance and barriers in individuals with major depressive disorder. CoRR abs/2104.08600 (2021) - [i9]Shuo Liu, Jing Han, Estela Laporta Puyal, Spyridon Kontaxis, Shaoxiong Sun, Patrick Locatelli, Judith Dineley, Florian B. Pokorny, Gloria Dalla Costa, Letizia Leocani, Ana Isabel Guerrero, Carlos Nos, Ana Zabalza, Per Soelberg Sørensen, Mathias Buron, Melinda Magyari, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Callum L. Stewart, Amos A. Folarin, Richard J. B. Dobson, Raquel Bailón, Srinivasan Vairavan, Nicholas Cummins, Vaibhav A. Narayan, Matthew Hotopf, Giancarlo Comi, Björn W. Schuller:
Fitbeat: COVID-19 Estimation based on Wristband Heart Rate. CoRR abs/2104.09263 (2021) - [i8]Yuezhou Zhang, Amos A. Folarin, Shaoxiong Sun, Nicholas Cummins, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Callum L. Stewart, Petroula Laiou, Faith Matcham, Carolin Oetzmann, Femke Lamers, Sara Siddi, Sara Simblett, Aki Rintala, David C. Mohr, Inez Myin-Germeys, Til Wykes, Josep Maria Haro, Brenda W. J. H. Penninx, Vaibhav A. Narayan, Peter Annas, Matthew Hotopf, Richard J. B. Dobson:
Predicting Depressive Symptom Severity through Individuals' Nearby Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary Longitudinal Study. CoRR abs/2104.12407 (2021) - 2020
- [j15]Nicholas Cummins, Björn W. Schuller:
Five Crucial Challenges in Digital Health. Frontiers Digit. Health 2: 536203 (2020) - [j14]Vedhas Pandit, Maximilian Schmitt, Nicholas Cummins, Björn W. Schuller:
I see it in your eyes: Training the shallowest-possible CNN to recognise emotions and pain from muted web-assisted in-the-wild video-chats in real-time. Inf. Process. Manag. 57(6): 102347 (2020) - [j13]Ziping Zhao, Zhongtian Bao, Zixing Zhang, Jun Deng, Nicholas Cummins, Haishuai Wang, Jianhua Tao, Björn W. Schuller:
Automatic Assessment of Depression From Speech via a Hierarchical Attention Transfer Network and Attention Autoencoders. IEEE J. Sel. Top. Signal Process. 14(2): 423-434 (2020) - [j12]Nicholas Cummins, Vidhyasaharan Sethu, Julien Epps, James R. Williamson, Thomas F. Quatieri, Jarek Krajewski:
Generalized Two-Stage Rank Regression Framework for Depression Score Prediction from Speech. IEEE Trans. Affect. Comput. 11(2): 272-283 (2020) - [j11]Shahin Amiriparian, Nicholas Cummins, Maurice Gerczuk, Sergey Pugachevskiy, Sandra Ottl, Björn W. Schuller:
"Are You Playing a Shooter Again?!" Deep Representation Learning for Audio-Based Video Game Genre Recognition. IEEE Trans. Games 12(2): 145-154 (2020) - [c73]Adria Mallol-Ragolta, Shuo Liu, Nicholas Cummins, Björn W. Schuller:
A Curriculum Learning Approach for Pain Intensity Recognition from Facial Expressions. FG 2020: 829-833 - [c72]Ziping Zhao, Zhongtian Bao, Zixing Zhang, Nicholas Cummins, Haishuai Wang, Björn W. Schuller:
Hierarchical Attention Transfer Networks for Depression Assessment from Speech. ICASSP 2020: 7159-7163 - [c71]Shuo Liu, Jinlong Jiao, Ziping Zhao, Judith Dineley, Nicholas Cummins, Björn W. Schuller:
Hierarchical Component-attention Based Speaker Turn Embedding for Emotion Recognition. IJCNN 2020: 1-7 - [c70]Zhao Ren, Jing Han, Nicholas Cummins, Björn W. Schuller:
Enhancing Transferability of Black-Box Adversarial Attacks via Lifelong Learning for Speech Emotion Recognition Models. INTERSPEECH 2020: 496-500 - [c69]Adria Mallol-Ragolta, Nicholas Cummins, Björn W. Schuller:
An Investigation of Cross-Cultural Semi-Supervised Learning for Continuous Affect Recognition. INTERSPEECH 2020: 511-515 - [c68]Nicholas Cummins, Yilin Pan, Zhao Ren, Julian Fritsch, Venkata Srikanth Nallanthighal, Heidi Christensen, Daniel Blackburn, Björn W. Schuller, Mathew Magimai-Doss, Helmer Strik, Aki Härmä:
A Comparison of Acoustic and Linguistics Methodologies for Alzheimer's Dementia Recognition. INTERSPEECH 2020: 2182-2186 - [c67]Merlin Albes, Zhao Ren, Björn W. Schuller, Nicholas Cummins:
Squeeze for Sneeze: Compact Neural Networks for Cold and Flu Recognition. INTERSPEECH 2020: 4546-4550 - [c66]Alice Baird, Nicholas Cummins, Sebastian Schnieder, Jarek Krajewski, Björn W. Schuller:
An Evaluation of the Effect of Anxiety on Speech - Computational Prediction of Anxiety from Sustained Vowels. INTERSPEECH 2020: 4951-4955 - [c65]Ziping Zhao, Qifei Li, Nicholas Cummins, Bin Liu, Haishuai Wang, Jianhua Tao, Björn W. Schuller:
Hybrid Network Feature Extraction for Depression Assessment from Speech. INTERSPEECH 2020: 4956-4960 - [i7]Shaoxiong Sun, Amos Folarin, Yatharth Ranjan, Zulqarnain Rashid, Pauline Conde, Nicholas Cummins, Faith Matcham, Gloria Dalla Costa, Letizia Leocani, Per Soelberg Sørensen, Mathias Buron, Ana Isabel Guerrero, Ana Zabalza, Brenda W. J. H. Penninx, Femke Lamers, Sara Siddi, Josep Maria Haro, Inez Myin-Germeys, Aki Rintala, Vaibhav A. Narayan, Giancarlo Comi, Matthew Hotopf, Richard J. B. Dobson:
Using smartphones and wearable devices to monitor behavioural changes during COVID-19. CoRR abs/2004.14331 (2020)
2010 – 2019
- 2019
- [j10]Ziping Zhao, Zhongtian Bao, Yiqin Zhao, Zixing Zhang, Nicholas Cummins, Zhao Ren, Björn W. Schuller:
Exploring Deep Spectrum Representations via Attention-Based Recurrent and Convolutional Neural Networks for Speech Emotion Recognition. IEEE Access 7: 97515-97525 (2019) - [c64]Vedhas Pandit, Maximilian Schmitt, Nicholas Cummins, Björn W. Schuller:
I Know How you Feel Now, and Here's why!: Demystifying Time-Continuous High Resolution Text-Based Affect Predictions in the Wild. CBMS 2019: 465-470 - [c63]Zhao Ren, Jing Han, Nicholas Cummins, Qiuqiang Kong, Mark D. Plumbley, Björn W. Schuller:
Multi-instance Learning for Bipolar Disorder Diagnosis using Weakly Labelled Speech Data. PDH 2019: 79-83 - [c62]Adria Mallol-Ragolta, Maximilian Schmitt, Alice Baird, Nicholas Cummins, Björn W. Schuller:
Performance Analysis of Unimodal and Multimodal Models in Valence-Based Empathy Recognition. FG 2019: 1-5 - [c61]Lukas Stappen, Nicholas Cummins, Eva-Maria Meßner, Harald Baumeister, Judith Dineley, Björn W. Schuller:
Context Modelling Using Hierarchical Attention Networks for Sentiment and Self-assessed Emotion Detection in Spoken Narratives. ICASSP 2019: 6680-6684 - [c60]Chao Li, Qian Zhang, Ziping Zhao, Li Gu, Nicholas Cummins, Björn W. Schuller:
Analysing and Inferring of Intimacy Based on fNIRS Signals and Peripheral Physiological Signals. IJCNN 2019: 1-8 - [c59]Ziping Zhao, Zhongtian Bao, Zixing Zhang, Nicholas Cummins, Haishuai Wang, Björn W. Schuller:
Attention-Enhanced Connectionist Temporal Classification for Discrete Speech Emotion Recognition. INTERSPEECH 2019: 206-210 - [c58]Adria Mallol-Ragolta, Ziping Zhao, Lukas Stappen, Nicholas Cummins, Björn W. Schuller:
A Hierarchical Attention Network-Based Approach for Depression Detection from Transcribed Clinical Interviews. INTERSPEECH 2019: 221-225 - [c57]Alice Baird, Shahin Amiriparian, Nicholas Cummins, Sarah Sturmbauer, Johanna Janson, Eva-Maria Meßner, Harald Baumeister, Nicolas Rohleder, Björn W. Schuller:
Using Speech to Predict Sequentially Measured Cortisol Levels During a Trier Social Stress Test. INTERSPEECH 2019: 534-538 - [c56]Xinzhou Xu, Jun Deng, Nicholas Cummins, Zixing Zhang, Li Zhao, Björn W. Schuller:
Autonomous Emotion Learning in Speech: A View of Zero-Shot Speech Emotion Recognition. INTERSPEECH 2019: 949-953 - [c55]Maximilian Schmitt, Nicholas Cummins, Björn W. Schuller:
Continuous Emotion Recognition in Speech - Do We Need Recurrence? INTERSPEECH 2019: 2808-2812 - [c54]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. AVEC@MM 2019: 3-12 - [c53]Fabien Ringeval, Björn W. Schuller, Michel F. Valstar, Nicholas Cummins, Roddy Cowie, Maja Pantic:
AVEC'19: Audio/Visual Emotion Challenge and Workshop. ACM Multimedia 2019: 2718-2719 - [c52]Lukas Stappen, Vincent Karas, Nicholas Cummins, Fabien Ringeval, Klaus R. Scherer, Björn W. Schuller:
From Speech to Facial Activity: Towards Cross-modal Sequence-to-Sequence Attention Networks. MMSP 2019: 1-6 - [e1]Fabien Ringeval, Björn W. Schuller, Michel F. Valstar, Nicholas Cummins, Roddy Cowie, Maja Pantic:
Proceedings of the 9th International on Audio/Visual Emotion Challenge and Workshop, AVEC@MM 2019, Nice, France, October 21-25, 2019. ACM 2019, ISBN 978-1-4503-6913-8 [contents] - [i6]Thomas Wiest, Nicholas Cummins, Alice Baird, Simone Hantke, Judith Dineley, Björn W. Schuller:
Voice command generation using Progressive Wavegans. CoRR abs/1903.07395 (2019) - [i5]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) - [i4]Vidhyasaharan Sethu, Emily Mower Provost, Julien Epps, Carlos Busso, Nicholas Cummins, Shrikanth S. Narayanan:
The Ambiguous World of Emotion Representation. CoRR abs/1909.00360 (2019) - 2018
- [j9]Simone Hantke, Alexander Abstreiter, Nicholas Cummins, Björn W. Schuller:
Trustability-Based Dynamic Active Learning for Crowdsourced Labelling of Emotional Audio Data. IEEE Access 6: 42142-42155 (2018) - [j8]Gil Keren, Nicholas Cummins, Björn W. Schuller:
Calibrated Prediction Intervals for Neural Network Regressors. IEEE Access 6: 54033-54041 (2018) - [c51]Zhao Ren, Nicholas Cummins, Jing Han, Sebastian Schnieder, Jarek Krajewski, Björn W. Schuller:
Evaluation of the Pain Level from Speech: Introducing a Novel Pain Database and Benchmarks. ITG Symposium on Speech Communication 2018: 1-5 - [c50]Zhao Ren, Nicholas Cummins, Vedhas Pandit, Jing Han, Kun Qian, Björn W. Schuller:
Learning Image-based Representations for Heart Sound Classification. DH 2018: 143-147 - [c49]Gerhard Hagerer, Nicholas Cummins, Florian Eyben, Björn W. Schuller:
Robust Laughter Detection for Wearable Wellbeing Sensing. DH 2018: 156-157 - [c48]Fatih Demir, Abdulkadir Sengür, Nicholas Cummins, Shahin Amiriparian, Björn W. Schuller:
Low Level Texture Features for Snore Sound Discrimination. EMBC 2018: 413-416 - [c47]Shahin Amiriparian, Maximilian Schmitt, Nicholas Cummins, Kun Qian, Fengquan Dong, Björn W. Schuller:
Deep Unsupervised Representation Learning for Abnormal Heart Sound Classification. EMBC 2018: 4776-4779 - [c46]Shahin Arniriparian, Michael Freitag, Nicholas Cummins, Maurice Gerczuk, Sergey Pugachevskiy, Björn W. Schuller:
A Fusion of Deep Convolutional Generative Adversarial Networks and Sequence to Sequence Autoencoders for Acoustic Scene Classification. EUSIPCO 2018: 977-981 - [c45]Nicholas Cummins, Shahin Amiriparian, Sandra Ottl, Maurice Gerczuk, Maximilian Schmitt, Björn W. Schuller:
Multimodal Bag-of-Words for Cross Domains Sentiment Analysis. ICASSP 2018: 4954-4958 - [c44]Simone Hantke, Nicholas Cummins, Björn W. Schuller:
What is my Dog Trying to Tell Me? the Automatic Recognition of the Context and Perceived Emotion of Dog Barks. ICASSP 2018: 5134-5138 - [c43]Benjamin Sertolli, Nicholas Cummins, Abdulkadir Sengür, Björn W. Schuller:
Deep End-to-End Representation Learning for Food Type Recognition from Speech. ICMI 2018: 574-578 - [c42]Hans-Jörg Vögel, Christian Süß, Thomas Hubregtsen, Elisabeth André, Björn W. Schuller, Jérôme Härri, Jörg Conradt, Asaf Adi, Alexander Zadorojniy, Jacques M. B. Terken, Jonas Beskow, Ann Morrison, Kynan Eng, Florian Eyben, Samer Al Moubayed, Susanne Muller, Nicholas Cummins, Viviane S. Ghaderi, Ronee Chadowitz, Raphaël Troncy, Benoit Huet, Melek Önen, Adlen Ksentini:
Emotion-Awareness for Intelligent Vehicle Assistants: A Research Agenda. SEFAIAS@ICSE 2018: 11-15 - [c41]Shahin Amiriparian, Maurice Gerczuk, Sandra Ottl, Nicholas Cummins, Sergey Pugachevskiy, Björn W. Schuller:
Bag-of-Deep-Features: Noise-Robust Deep Feature Representations for Audio Analysis. IJCNN 2018: 1-7 - [c40]Eva-Maria Rathner, Yannik Terhorst, Nicholas Cummins, Björn W. Schuller, Harald Baumeister:
State of Mind: Classification through Self-reported Affect and Word Use in Speech. INTERSPEECH 2018: 267-271 - [c39]Shahin Amiriparian, Alice Baird, Sahib Julka, Alyssa Alcorn, Sandra Ottl, Suncica Petrovic, Eloise Ainger, Nicholas Cummins, Björn W. Schuller:
Recognition of Echolalic Autistic Child Vocalisations Utilising Convolutional Recurrent Neural Networks. INTERSPEECH 2018: 2334-2338 - [c38]Alice Baird, Emilia Parada-Cabaleiro, Simone Hantke, Felix Burkhardt, Nicholas Cummins, Björn W. Schuller:
The Perception and Analysis of the Likeability and Human Likeness of Synthesized Speech. INTERSPEECH 2018: 2863-2867 - [c37]Eva-Maria Rathner, Julia Djamali, Yannik Terhorst, Björn W. Schuller, Nicholas Cummins, Gudrun Salamon, Christina Hunger-Schoppe, Harald Baumeister:
How Did You like 2017? Detection of Language Markers of Depression and Narcissism in Personal Narratives. INTERSPEECH 2018: 3388-3392 - [c36]Fabien Ringeval, Björn W. Schuller, Michel F. Valstar, Roddy Cowie, Heysem Kaya, Maximilian Schmitt, Shahin Amiriparian, Nicholas Cummins, Denis Lalanne, Adrien Michaud, Elvan Çiftçi, Hüseyin Güleç, Albert Ali Salah, Maja Pantic:
AVEC 2018 Workshop and Challenge: Bipolar Disorder and Cross-Cultural Affect Recognition. AVEC@MM 2018: 3-13 - [c35]Vedhas Pandit, Maximilian Schmitt, Nicholas Cummins, Franz Graf, Lucas Paletta, Björn W. Schuller:
How Good Is Your Model 'Really'? On 'Wildness' of the In-the-Wild Speech-Based Affect Recognisers. SPECOM 2018: 490-500 - [p1]Jeffrey F. Cohn, Nicholas Cummins, Julien Epps, Roland Goecke, Jyoti Joshi, Stefan Scherer:
Multimodal assessment of depression from behavioral signals. The Handbook of Multimodal-Multisensor Interfaces, Volume 2 (2) 2018: 375-417 - [i3]Gil Keren, Nicholas Cummins, Björn W. Schuller:
Calibrated Prediction Intervals for Neural Network Regressors. CoRR abs/1803.09546 (2018) - [i2]Jing Han, Zixing Zhang, Nicholas Cummins, Björn W. Schuller:
Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives. CoRR abs/1809.08927 (2018) - 2017
- [j7]Jing Han, Zixing Zhang, Nicholas Cummins, Fabien Ringeval, Björn W. Schuller:
Strength modelling for real-worldautomatic continuous affect recognition from audiovisual signals. Image Vis. Comput. 65: 76-86 (2017) - [j6]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) - [j5]Zixing Zhang, Nicholas Cummins, Björn W. Schuller:
Advanced Data Exploitation in Speech Analysis: An overview. IEEE Signal Process. Mag. 34(4): 107-129 (2017) - [j4]Xinzhou Xu, Jun Deng, Nicholas Cummins, Zixing Zhang, Chen Wu, Li Zhao, Björn W. Schuller:
A Two-Dimensional Framework of Multiple Kernel Subspace Learning for Recognizing Emotion in Speech. IEEE ACM Trans. Audio Speech Lang. Process. 25(7): 1436-1449 (2017) - [j3]Hesam Sagha, Nicholas Cummins, Björn W. Schuller:
Stacked denoising autoencoders for sentiment analysis: a review. WIREs Data Mining Knowl. Discov. 7(5) (2017) - [c34]Shahin Amiriparian, Nicholas Cummins, Sandra Ottl, Maurice Gerczuk, Björn W. Schuller:
Sentiment analysis using image-based deep spectrum features. ACII Workshops 2017: 26-29 - [c33]Shahin Amiriparian, Michael Freitag, Nicholas Cummins, Björn W. Schuller:
Feature selection in multimodal continuous emotion prediction. ACII Workshops 2017: 30-37 - [c32]Shahin Amiriparian, Sergey Pugachevskiy, Nicholas Cummins, Simone Hantke, Jouni Pohjalainen, Gil Keren, Björn W. Schuller:
CAST a database: Rapid targeted large-scale big data acquisition via small-world modelling of social media platforms. ACII 2017: 340-345 - [c31]Nicholas Cummins, Bogdan Vlasenko, Hesam Sagha, Björn W. Schuller:
Enhancing Speech-Based Depression Detection Through Gender Dependent Vowel-Level Formant Features. AIME 2017: 209-214 - [c30]Alice Baird, Stina Hasse Jørgensen, Emilia Parada-Cabaleiro, Simone Hantke, Nicholas Cummins, Björn W. Schuller:
Perception of Paralinguistic Traits in Synthesized Voices. Audio Mostly Conference 2017: 17:1-17:5 - [c29]Shahin Amiriparian, Michael Freitag, Nicholas Cummins, Björn W. Schuller:
Sequence to Sequence Autoencoders for Unsupervised Representation Learning from Audio. DCASE 2017: 17-21 - [c28]Jun Deng, Nicholas Cummins, Maximilian Schmitt, Kun Qian, Fabien Ringeval, Björn W. Schuller:
Speech-based Diagnosis of Autism Spectrum Condition by Generative Adversarial Network Representations. DH 2017: 53-57 - [c27]Kun Qian, Christoph Janott, Jun Deng, Clemens Heiser, Winfried Hohenhorst, Michael Herzog, Nicholas Cummins, Björn W. Schuller:
Snore sound recognition: On wavelets and classifiers from deep nets to kernels. EMBC 2017: 3737-3740 - [c26]Nicholas Cummins, Maximilian Schmitt, Shahin Amiriparian, Jarek Krajewski, Björn W. Schuller:
"You sound ill, take the day off": Automatic recognition of speech affected by upper respiratory tract infection. EMBC 2017: 3806-3809 - [c25]Emilia Parada-Cabaleiro, Alice Baird, Nicholas Cummins, Björn W. Schuller:
Stimulation of psychological listener experiences by semi-automatically composed electroacoustic environments. ICME 2017: 1051-1056 - [c24]Florian B. Pokorny, Björn W. Schuller, Peter B. Marschik, Raymond Brueckner, Pär Nyström, Nicholas Cummins, Sven Bölte, Christa Einspieler, Terje Falck-Ytter:
Earlier Identification of Children with Autism Spectrum Disorder: An Automatic Vocalisation-Based Approach. INTERSPEECH 2017: 309-313 - [c23]Alice Baird, Shahin Amiriparian, Nicholas Cummins, Alyssa M. Alcorn, Anton Batliner, Sergey Pugachevskiy, Michael Freitag, Maurice Gerczuk, Björn W. Schuller:
Automatic Classification of Autistic Child Vocalisations: A Novel Database and Results. INTERSPEECH 2017: 849-853 - [c22]Gerhard Hagerer, Nicholas Cummins, Florian Eyben, Björn W. Schuller:
"Did you laugh enough today?" - Deep Neural Networks for Mobile and Wearable Laughter Trackers. INTERSPEECH 2017: 2044-2045 - [c21]Simone Hantke, Hesam Sagha, Nicholas Cummins, Björn W. Schuller:
Emotional Speech of Mentally and Physically Disabled Individuals: Introducing the EmotAsS Database and First Findings. INTERSPEECH 2017: 3137-3141 - [c20]Emilia Parada-Cabaleiro, Alice Baird, Anton Batliner, Nicholas Cummins, Simone Hantke, Björn W. Schuller:
The Perception of Emotions in Noisified Nonsense Speech. INTERSPEECH 2017: 3246-3250 - [c19]Bogdan Vlasenko, Hesam Sagha, Nicholas Cummins, Björn W. Schuller:
Implementing Gender-Dependent Vowel-Level Analysis for Boosting Speech-Based Depression Recognition. INTERSPEECH 2017: 3266-3270 - [c18]Michael Freitag, Shahin Amiriparian, Nicholas Cummins, Maurice Gerczuk, Björn W. Schuller:
An 'End-to-Evolution' Hybrid Approach for Snore Sound Classification. INTERSPEECH 2017: 3507-3511 - [c17]Shahin Amiriparian, Maurice Gerczuk, Sandra Ottl, Nicholas Cummins, Michael Freitag, Sergey Pugachevskiy, Alice Baird, Björn W. Schuller:
Snore Sound Classification Using Image-Based Deep Spectrum Features. INTERSPEECH 2017: 3512-3516 - [c16]Emilia Parada-Cabaleiro, Alice Baird, Anton Batliner, Nicholas Cummins, Simone Hantke, Björn W. Schuller:
The Perception of Emotion in the Singing Voice: The Understanding of Music Mood for Music Organisation. DLfM 2017: 29-36 - [c15]Fabien Ringeval, Björn W. Schuller, Michel F. Valstar, Jonathan Gratch, Roddy Cowie, Stefan Scherer, Sharon Mozgai, Nicholas Cummins, Maximilian Schmitt, Maja Pantic:
AVEC 2017: Real-life Depression, and Affect Recognition Workshop and Challenge. AVEC@ACM Multimedia 2017: 3-9 - [c14]Nicholas Cummins, Shahin Amiriparian, Gerhard Hagerer, Anton Batliner, Stefan Steidl, Björn W. Schuller:
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
- [c13]Jun Deng, Nicholas Cummins, Jing Han, Xinzhou Xu, Zhao Ren, Vedhas Pandit, Zixing Zhang, Björn W. Schuller:
The University of Passau Open Emotion Recognition System for the Multimodal Emotion Challenge. CCPR (2) 2016: 652-666 - [c12]Brian Stasak, Julien Epps, Nicholas Cummins, Roland Goecke:
An Investigation of Emotional Speech in Depression Classification. INTERSPEECH 2016: 485-489 - 2015
- [j2]Nicholas Cummins, Stefan Scherer, Jarek Krajewski, Sebastian Schnieder, Julien Epps, Thomas F. Quatieri:
A review of depression and suicide risk assessment using speech analysis. Speech Commun. 71: 10-49 (2015) - [j1]Nicholas Cummins, Vidhyasaharan Sethu, Julien Epps, Sebastian Schnieder, Jarek Krajewski:
Analysis of acoustic space variability in speech affected by depression. Speech Commun. 75: 27-49 (2015) - [c11]Mark E. Larsen, Nicholas Cummins, Tjeerd W. Boonstra, Bridianne O'Dea, Joe Tighe, Jennifer Nicholas, Fiona Shand, Julien Epps, Helen Christensen:
The use of technology in Suicide Prevention. EMBC 2015: 7316-7319 - [c10]Nicholas Cummins, Julien Epps, Vidhyasaharan Sethu, Jarek Krajewski:
Weighted pairwise Gaussian likelihood regression for depression score prediction. ICASSP 2015: 4779-4783 - [c9]Nicholas Cummins, Vidhyasaharan Sethu, Julien Epps, Jarek Krajewski:
Relevance vector machine for depression prediction. INTERSPEECH 2015: 110-114 - [c8]Zhaocheng Huang, Ting Dang, Nicholas Cummins, Brian Stasak, Phu Ngoc Le, Vidhyasaharan Sethu, Julien Epps:
An Investigation of Annotation Delay Compensation and Output-Associative Fusion for Multimodal Continuous Emotion Prediction. AVEC@ACM Multimedia 2015: 41-48 - 2014
- [c7]Nicholas Cummins, Julien Epps, Vidhyasaharan Sethu, Jarek Krajewski:
Variability compensation in small data: Oversampled extraction of i-vectors for the classification of depressed speech. ICASSP 2014: 970-974 - [c6]Nicholas Cummins, Vidhyasaharan Sethu, Julien Epps, Jarek Krajewski:
Probabilistic acoustic volume analysis for speech affected by depression. INTERSPEECH 2014: 1238-1242 - 2013
- [c5]Nicholas Cummins, Julien Epps, Eliathamby Ambikairajah:
Spectro-temporal analysis of speech affected by depression and psychomotor retardation. ICASSP 2013: 7542-7546 - [c4]Nicholas Cummins, Julien Epps, Vidhyasaharan Sethu, Michael Breakspear, Roland Goecke:
Modeling spectral variability for the classification of depressed speech. INTERSPEECH 2013: 857-861 - [c3]Nicholas Cummins, Jyoti Joshi, Abhinav Dhall, Vidhyasaharan Sethu, Roland Goecke, Julien Epps:
Diagnosis of depression by behavioural signals: a multimodal approach. AVEC@ACM Multimedia 2013: 11-20 - 2012
- [c2]Nicholas Cummins, Julien Epps, Jia Min Karen Kua:
A Comparison of Classification Paradigms for Speaker Likeability Determination. INTERSPEECH 2012: 282-285 - 2011
- [c1]Nicholas Cummins, Julien Epps, Michael Breakspear, Roland Goecke:
An Investigation of Depressed Speech Detection: Features and Normalization. INTERSPEECH 2011: 2997-3000
Coauthor Index
[i14] [j24] [j23] [j21] [j20] [j19] [j18] [j17] [j16] [c76] [c74] [i10] [i9] [j15] [j14] [j13] [j11] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [j10] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [e1] [i6] [i5] [j9] [j8] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [i3] [i2] [j7] [j6] [j5] [j4] [j3] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [i1] [c13]
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