Nicholas Cummins

139 papers A* 2A 42B 10C 1Misc 9Journal 46Unranked 27

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Challenges and practical guidelines for atypical speech data collection, annotation, usage and sharing: A multi-project perspective. INTERSPEECH Zhengjun Yue, Mara Barberis, Tanvina Patel, Judith Dineley, Willemijn Doedens, Lottie Stipdonk, Yuanyuan Zhang, Elke De Witte, Erfan Loweimi, Hugo Van hamme, Djaina Satoer, Marina B. Ruiter, Laureano Moro-Velázquez, Nicholas Cummins, Odette Scharenborg
2025	A	`conf`	Meta-Learning Approaches for Speaker-Dependent Voice Fatigue Models. INTERSPEECH Roseline Polle, Agnes Norbury, Alexandra Livia Georgescu, Nicholas Cummins, Stefano Goria
2025	J	`jnl`	Meta-Learning Approaches for Speaker-Dependent Voice Fatigue Models. CoRR Roseline Polle, Agnes Norbury, Alexandra Livia Georgescu, Nicholas Cummins, Stefano Goria
2025	J	`jnl`	Multilingual Lexical Feature Analysis of Spoken Language for Predicting Major Depression Symptom Severity. CoRR Anastasiia Tokareva, Judith Dineley, Zoe Firth, Pauline Conde, Faith Matcham, Sara Siddi, Femke Lamers, Ewan Carr, Carolin Oetzmann, Daniel Leightley, Yuezhou Zhang, Amos A. Folarin, Josep Maria Haro, Brenda W. J. H. Penninx, Raquel Bailón, Srinivasan Vairavan, Til Wykes, Richard J. B. Dobson, Vaibhav A. Narayan, Matthew Hotopf, Nicholas Cummins, RADAR-CNS Consortium
2025	A	`conf`	Speech Reference Intervals: An Assessment of Feasibility in Depression Symptom Severity Prediction. INTERSPEECH Lauren L. White, Ewan Carr, Judith Dineley, Catarina Botelho, Pauline Conde, Faith Matcham, Carolin Oetzmann, Amos Folarin, George Fairs, Agnes Norbury, Stefano Goria, Srinivasan Vairavan, Til Wykes, Richard J. B. Dobson, Vaibhav A. Narayan, Matthew Hotopf, Alberto Abad, Isabel Trancoso, Nicholas Cummins
2025	A	`conf`	Towards the Objective Characterisation of Major Depressive Disorder Using Speech Data from a 12-week Observational Study with Daily Measurements. INTERSPEECH Robert Lewis, Szymon Fedor, Nelson Hidalgo Julia, Joshua Curtiss, Jiyeon Kim, Noah Jones, David Mischoulon, Thomas F. Quatieri, Nicholas Cummins, Paola Pedrelli, Rosalind W. Picard
2024	J	`jnl`	A Tutorial on Clinical Speech AI Development: From Data Collection to Model Validation. CoRR Si-Ioi Ng, Lingfeng Xu, Ingo Siegert, Nicholas Cummins, Nina R. Benway, Julie Liss, Visar Berisha
2024	J	`jnl`	A pilot protocol and cohort for the investigation of non-pathological variability in speech. CoRR Nicholas Cummins, Lauren L. White, Zahia Rahman, Catriona Lucas, Tian Pan, Ewan Carr, Faith Matcham, Johnny Downs, Richard J. B. Dobson, Judith Dineley
2024	Misc	`conf`	Longitudinal Modeling of Depression Shifts Using Speech and Language. ICASSP Paula Andrea Pérez-Toro, Judith Dineley, Agnieszka Kaczkowska, Pauline Conde, Yuezhou Zhang, Faith Matcham, Sara Siddi, Josep Maria Haro, Stuart Bruce, Til Wykes, Raquel Bailón, Srinivasan Vairavan, Richard J. B. Dobson, Andreas K. Maier, Elmar Nöth, Juan Rafael Orozco-Arroyave, Vaibhav A. Narayan, Nicholas Cummins
2024	A	`conf`	Revealing Confounding Biases: A Novel Benchmarking Approach for Aggregate-Level Performance Metrics in Health Assessments. INTERSPEECH Stefano Goria, Roseline Polle, Salvatore Fara, Nicholas Cummins
2024	A	`conf`	Variability of speech timing features across repeated recordings: a comparison of open-source extraction techniques. INTERSPEECH Judith Dineley, Ewan Carr, Lauren L. White, Catriona Lucas, Zahia Rahman, Tian Pan, Faith Matcham, Johnny Downs, Richard J. B. Dobson, Thomas F. Quatieri, Nicholas Cummins
2023	J	`jnl`	Automatic Assessment of the 2-Minute Walk Distance for Remote Monitoring of People with Multiple Sclerosis. Sensors 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
2023	A	`conf`	Bayesian Networks for the robust and unbiased prediction of depression and its symptoms utilizing speech and multimodal data. INTERSPEECH Salvatore Fara, Orlaith Hickey, Alexandra Livia Georgescu, Stefano Goria, Emilia Molimpakis, Nicholas Cummins
2023	A	`conf`	Classifying depression symptom severity: Assessment of speech representations in personalized and generalized machine learning models. INTERSPEECH Edward L. Campbell, Judith Dineley, Pauline Conde, Faith Matcham, Katie M. White, Carolin Oetzmann, Sara Simblett, Stuart Bruce, Amos A. Folarin, Til Wykes, Srinivasan Vairavan, Richard J. B. Dobson, Laura Docío Fernández, Carmen García-Mateo, Vaibhav A. Narayan, Matthew Hotopf, Nicholas Cummins
2023	J	`jnl`	Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model. CoRR 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
2023	J	`jnl`	Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study. npj Digit. Medicine 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
2023	A	`conf`	Towards robust paralinguistic assessment for real-world mobile health (mHealth) monitoring: an initial study of reverberation effects on speech. INTERSPEECH Judith Dineley, Ewan Carr, Faith Matcham, Johnny Downs, Richard J. B. Dobson, Thomas F. Quatieri, Nicholas Cummins
2023	J	`jnl`	Towards robust paralinguistic assessment for real-world mobile health (mHealth) monitoring: an initial study of reverberation effects on speech. CoRR Judith Dineley, Ewan Carr, Faith Matcham, Johnny Downs, Richard J. B. Dobson, Thomas F. Quatieri, Nicholas Cummins
2022	A	`conf`	Automatic Detection of Expressed Emotion from Five-Minute Speech Samples: Challenges and Opportunities. INTERSPEECH Bahman Mirheidari, André Bittar, Nicholas Cummins, Johnny Downs, Helen L. Fisher, Heidi Christensen
2022	J	`jnl`	Automatic Detection of Expressed Emotion from Five-Minute Speech Samples: Challenges and Opportunities. CoRR Bahman Mirheidari, André Bittar, Nicholas Cummins, Johnny Downs, Helen L. Fisher, Heidi Christensen
2022	J	`jnl`	Automatic Emotion Recognition in Children with Autism: A Systematic Literature Review. Sensors Agnieszka Landowska, Aleksandra Karpus, Teresa Zawadzka, Ben Robins, Duygun Erol Barkana, Hatice Kose, Tatjana Zorcec, Nicholas Cummins
2022	—	`conf`	Automatic detection of short-term sleepiness state. Sequence-to-Sequence modelling with global attention mechanism. SMM Edward L. Campbell, Laura Docío Fernández, Carmen García-Mateo, André Wittenborn, Jarek Krajewski, Nicholas Cummins
2022	J	`jnl`	Evaluating the Impact of Voice Activity Detection on Speech Emotion Recognition for Autistic Children. Frontiers Comput. Sci. 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
2022	J	`jnl`	Exploring Zero-Shot Emotion Recognition in Speech Using Semantic-Embedding Prototypes. IEEE Trans. Multim. Xinzhou Xu, Jun Deng, Nicholas Cummins, Zixing Zhang, Li Zhao, Björn W. Schuller
2022	J	`jnl`	Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder. Pattern Recognit. 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
2022	—	`conf`	Speech and Text Processing for Major Depressive Disorder Detection. IberSPEECH Edward L. Campbell, Laura Docío Fernández, Nicholas Cummins, Carmen García-Mateo
2022	A	`conf`	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 Salvatore Fara, Stefano Goria, Emilia Molimpakis, Nicholas Cummins
2022	J	`jnl`	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 Salvatore Fara, Stefano Goria, Emilia Molimpakis, Nicholas Cummins
2022	—	`conf`	The Potential of smartphones voice recordings to monitor depression severity. SMM Nicholas Cummins
2022	J	`jnl`	The utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditions. Comput. Methods Programs Biomed. 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
2022	J	`jnl`	Utilising Bayesian Networks to combine multimodal data and expert opinion for the robust prediction of depression and its symptoms. CoRR Salvatore Fara, Orlaith Hickey, Alexandra Livia Georgescu, Stefano Goria, Emilia Molimpakis, Nicholas Cummins
2021	J	`jnl`	Combining a parallel 2D CNN with a self-attention Dilated Residual Network for CTC-based discrete speech emotion recognition. Neural Networks Ziping Zhao, Qifei Li, Zixing Zhang, Nicholas Cummins, Haishuai Wang, Jianhua Tao, Björn W. Schuller
2021	J	`jnl`	Fitbeat: COVID-19 Estimation based on Wristband Heart Rate. CoRR 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
2021	J	`jnl`	Guided Generative Adversarial Neural Network for Representation Learning and Audio Generation Using Fewer Labelled Audio Data. IEEE ACM Trans. Audio Speech Lang. Process. Kazi Nazmul Haque, Rajib Rana, Jiajun Liu, John H. L. Hansen, Nicholas Cummins, Carlos Busso, Björn W. Schuller
2021	Misc	`conf`	Hierarchical Attention-Based Temporal Convolutional Networks for Eeg-Based Emotion Recognition. ICASSP Chao Li, Boyang Chen, Ziping Zhao, Nicholas Cummins, Björn W. Schuller
2021	J	`jnl`	Predictable Robots for Autistic Children - Variance in Robot Behaviour, Idiosyncrasies in Autistic Children's Characteristics, and Child-Robot Engagement. ACM Trans. Comput. Hum. Interact. 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
2021	J	`jnl`	Predicting Depressive Symptom Severity through Individuals' Nearby Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary Longitudinal Study. CoRR 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
2021	A	`conf`	Remote Smartphone-Based Speech Collection: Acceptance and Barriers in Individuals with Major Depressive Disorder. Interspeech 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
2021	J	`jnl`	Remote smartphone-based speech collection: acceptance and barriers in individuals with major depressive disorder. CoRR 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
2021	J	`jnl`	Representation transfer learning from deep end-to-end speech recognition networks for the classification of health states from speech. Comput. Speech Lang. Benjamin Sertolli, Zhao Ren, Björn W. Schuller, Nicholas Cummins
2021	J	`jnl`	Self-attention transfer networks for speech emotion recognition. Virtual Real. Intell. Hardw. Ziping Zhao, Zhongtian Bao, Zixing Zhang, Nicholas Cummins, Shihuang Sun, Haishuai Wang, Jianhua Tao, Björn W. Schuller
2021	B	`conf`	Socially Informed AI for Healthcare: Understanding and Generating Multimodal Nonverbal Cues. ICMI Oya Çeliktutan, Alexandra Livia Georgescu, Nicholas Cummins
2020	J	`jnl`	"Are You Playing a Shooter Again?!" Deep Representation Learning for Audio-Based Video Game Genre Recognition. IEEE Trans. Games Shahin Amiriparian, Nicholas Cummins, Maurice Gerczuk, Sergey Pugachevskiy, Sandra Ottl, Björn W. Schuller
2020	A	`conf`	A Comparison of Acoustic and Linguistics Methodologies for Alzheimer's Dementia Recognition. INTERSPEECH 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
2020	B	`conf`	A Curriculum Learning Approach for Pain Intensity Recognition from Facial Expressions. FG Adria Mallol-Ragolta, Shuo Liu, Nicholas Cummins, Björn W. Schuller
2020	A	`conf`	An Evaluation of the Effect of Anxiety on Speech - Computational Prediction of Anxiety from Sustained Vowels. INTERSPEECH Alice Baird, Nicholas Cummins, Sebastian Schnieder, Jarek Krajewski, Björn W. Schuller
2020	A	`conf`	An Investigation of Cross-Cultural Semi-Supervised Learning for Continuous Affect Recognition. INTERSPEECH Adria Mallol-Ragolta, Nicholas Cummins, Björn W. Schuller
2020	J	`jnl`	Automatic Assessment of Depression From Speech via a Hierarchical Attention Transfer Network and Attention Autoencoders. IEEE J. Sel. Top. Signal Process. Ziping Zhao, Zhongtian Bao, Zixing Zhang, Jun Deng, Nicholas Cummins, Haishuai Wang, Jianhua Tao, Björn W. Schuller
2020	A	`conf`	Enhancing Transferability of Black-Box Adversarial Attacks via Lifelong Learning for Speech Emotion Recognition Models. INTERSPEECH Zhao Ren, Jing Han, Nicholas Cummins, Björn W. Schuller
2020	J	`jnl`	Five Crucial Challenges in Digital Health. Frontiers Digit. Health Nicholas Cummins, Björn W. Schuller
2020	J	`jnl`	Generalized Two-Stage Rank Regression Framework for Depression Score Prediction from Speech. IEEE Trans. Affect. Comput. Nicholas Cummins, Vidhyasaharan Sethu, Julien Epps, James R. Williamson, Thomas F. Quatieri, Jarek Krajewski
2020	Misc	`conf`	Hierarchical Attention Transfer Networks for Depression Assessment from Speech. ICASSP Ziping Zhao, Zhongtian Bao, Zixing Zhang, Nicholas Cummins, Haishuai Wang, Björn W. Schuller
2020	B	`conf`	Hierarchical Component-attention Based Speaker Turn Embedding for Emotion Recognition. IJCNN Shuo Liu, Jinlong Jiao, Ziping Zhao, Judith Dineley, Nicholas Cummins, Björn W. Schuller
2020	A	`conf`	Hybrid Network Feature Extraction for Depression Assessment from Speech. INTERSPEECH Ziping Zhao, Qifei Li, Nicholas Cummins, Bin Liu, Haishuai Wang, Jianhua Tao, Björn W. Schuller
2020	J	`jnl`	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. Vedhas Pandit, Maximilian Schmitt, Nicholas Cummins, Björn W. Schuller
2020	A	`conf`	Squeeze for Sneeze: Compact Neural Networks for Cold and Flu Recognition. INTERSPEECH Merlin Albes, Zhao Ren, Björn W. Schuller, Nicholas Cummins
2020	J	`jnl`	Using smartphones and wearable devices to monitor behavioural changes during COVID-19. CoRR 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
2019	A	`conf`	A Hierarchical Attention Network-Based Approach for Depression Detection from Transcribed Clinical Interviews. INTERSPEECH Adria Mallol-Ragolta, Ziping Zhao, Lukas Stappen, Nicholas Cummins, Björn W. Schuller
2019	—	`conf`	AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition. AVEC@MM 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
2019	J	`jnl`	AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition. CoRR 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
2019	A*	`conf`	AVEC'19: Audio/Visual Emotion Challenge and Workshop. ACM Multimedia Fabien Ringeval, Björn W. Schuller, Michel F. Valstar, Nicholas Cummins, Roddy Cowie, Maja Pantic
2019	B	`conf`	Analysing and Inferring of Intimacy Based on fNIRS Signals and Peripheral Physiological Signals. IJCNN Chao Li, Qian Zhang, Ziping Zhao, Li Gu, Nicholas Cummins, Björn W. Schuller
2019	A	`conf`	Attention-Enhanced Connectionist Temporal Classification for Discrete Speech Emotion Recognition. INTERSPEECH Ziping Zhao, Zhongtian Bao, Zixing Zhang, Nicholas Cummins, Haishuai Wang, Björn W. Schuller
2019	A	`conf`	Autonomous Emotion Learning in Speech: A View of Zero-Shot Speech Emotion Recognition. INTERSPEECH Xinzhou Xu, Jun Deng, Nicholas Cummins, Zixing Zhang, Li Zhao, Björn W. Schuller
2019	Misc	`conf`	Context Modelling Using Hierarchical Attention Networks for Sentiment and Self-assessed Emotion Detection in Spoken Narratives. ICASSP Lukas Stappen, Nicholas Cummins, Eva-Maria Meßner, Harald Baumeister, Judith Dineley, Björn W. Schuller
2019	A	`conf`	Continuous Emotion Recognition in Speech - Do We Need Recurrence? INTERSPEECH Maximilian Schmitt, Nicholas Cummins, Björn W. Schuller
2019	J	`jnl`	Exploring Deep Spectrum Representations via Attention-Based Recurrent and Convolutional Neural Networks for Speech Emotion Recognition. IEEE Access Ziping Zhao, Zhongtian Bao, Yiqin Zhao, Zixing Zhang, Nicholas Cummins, Zhao Ren, Björn W. Schuller
2019	C	`conf`	From Speech to Facial Activity: Towards Cross-modal Sequence-to-Sequence Attention Networks. MMSP Lukas Stappen, Vincent Karas, Nicholas Cummins, Fabien Ringeval, Klaus R. Scherer, Björn W. Schuller
2019	B	`conf`	I Know How you Feel Now, and Here's why!: Demystifying Time-Continuous High Resolution Text-Based Affect Predictions in the Wild. CBMS Vedhas Pandit, Maximilian Schmitt, Nicholas Cummins, Björn W. Schuller
2019	—	`conf`	Multi-instance Learning for Bipolar Disorder Diagnosis using Weakly Labelled Speech Data. PDH Zhao Ren, Jing Han, Nicholas Cummins, Qiuqiang Kong, Mark D. Plumbley, Björn W. Schuller
2019	B	`conf`	Performance Analysis of Unimodal and Multimodal Models in Valence-Based Empathy Recognition. FG Adria Mallol-Ragolta, Maximilian Schmitt, Alice Baird, Nicholas Cummins, Björn W. Schuller
2019	—	`ed.`	Proceedings of the 9th International on Audio/Visual Emotion Challenge and Workshop, AVEC@MM 2019, Nice, France, October 21-25, 2019 AVEC@MM Fabien Ringeval, Björn W. Schuller, Michel F. Valstar, Nicholas Cummins, Roddy Cowie, Maja Pantic
2019	J	`jnl`	The Ambiguous World of Emotion Representation. CoRR Vidhyasaharan Sethu, Emily Mower Provost, Julien Epps, Carlos Busso, Nicholas Cummins, Shrikanth S. Narayanan
2019	A	`conf`	Using Speech to Predict Sequentially Measured Cortisol Levels During a Trier Social Stress Test. INTERSPEECH Alice Baird, Shahin Amiriparian, Nicholas Cummins, Sarah Sturmbauer, Johanna Janson, Eva-Maria Meßner, Harald Baumeister, Nicolas Rohleder, Björn W. Schuller
2019	J	`jnl`	Voice command generation using Progressive Wavegans. CoRR Thomas Wiest, Nicholas Cummins, Alice Baird, Simone Hantke, Judith Dineley, Björn W. Schuller
2018	—	`conf`	A Fusion of Deep Convolutional Generative Adversarial Networks and Sequence to Sequence Autoencoders for Acoustic Scene Classification. EUSIPCO Shahin Arniriparian, Michael Freitag, Nicholas Cummins, Maurice Gerczuk, Sergey Pugachevskiy, Björn W. Schuller
2018	—	`conf`	AVEC 2018 Workshop and Challenge: Bipolar Disorder and Cross-Cultural Affect Recognition. AVEC@MM 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
2018	J	`jnl`	Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives. CoRR Jing Han, Zixing Zhang, Nicholas Cummins, Björn W. Schuller
2018	B	`conf`	Bag-of-Deep-Features: Noise-Robust Deep Feature Representations for Audio Analysis. IJCNN Shahin Amiriparian, Maurice Gerczuk, Sandra Ottl, Nicholas Cummins, Sergey Pugachevskiy, Björn W. Schuller
2018	J	`jnl`	Calibrated Prediction Intervals for Neural Network Regressors. IEEE Access Gil Keren, Nicholas Cummins, Björn W. Schuller
2018	J	`jnl`	Calibrated Prediction Intervals for Neural Network Regressors. CoRR Gil Keren, Nicholas Cummins, Björn W. Schuller
2018	B	`conf`	Deep End-to-End Representation Learning for Food Type Recognition from Speech. ICMI Benjamin Sertolli, Nicholas Cummins, Abdulkadir Sengür, Björn W. Schuller
2018	—	`conf`	Deep Unsupervised Representation Learning for Abnormal Heart Sound Classification. EMBC Shahin Amiriparian, Maximilian Schmitt, Nicholas Cummins, Kun Qian, Fengquan Dong, Björn W. Schuller
2018	—	`conf`	Emotion-Awareness for Intelligent Vehicle Assistants: A Research Agenda. SEFAIAS@ICSE 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
2018	—	`conf`	Evaluation of the Pain Level from Speech: Introducing a Novel Pain Database and Benchmarks. ITG Symposium on Speech Communication Zhao Ren, Nicholas Cummins, Jing Han, Sebastian Schnieder, Jarek Krajewski, Björn W. Schuller
2018	A	`conf`	How Did You like 2017? Detection of Language Markers of Depression and Narcissism in Personal Narratives. INTERSPEECH Eva-Maria Rathner, Julia Djamali, Yannik Terhorst, Björn W. Schuller, Nicholas Cummins, Gudrun Salamon, Christina Hunger-Schoppe, Harald Baumeister
2018	—	`conf`	How Good Is Your Model 'Really'? On 'Wildness' of the In-the-Wild Speech-Based Affect Recognisers. SPECOM Vedhas Pandit, Maximilian Schmitt, Nicholas Cummins, Franz Graf, Lucas Paletta, Björn W. Schuller
2018	—	`conf`	Learning Image-based Representations for Heart Sound Classification. DH Zhao Ren, Nicholas Cummins, Vedhas Pandit, Jing Han, Kun Qian, Björn W. Schuller
2018	—	`conf`	Low Level Texture Features for Snore Sound Discrimination. EMBC Fatih Demir, Abdulkadir Sengür, Nicholas Cummins, Shahin Amiriparian, Björn W. Schuller
2018	Misc	`conf`	Multimodal Bag-of-Words for Cross Domains Sentiment Analysis. ICASSP Nicholas Cummins, Shahin Amiriparian, Sandra Ottl, Maurice Gerczuk, Maximilian Schmitt, Björn W. Schuller
2018	—	`ch.`	Multimodal assessment of depression from behavioral signals. The Handbook of Multimodal-Multisensor Interfaces, Volume 2 (2) Jeffrey F. Cohn, Nicholas Cummins, Julien Epps, Roland Goecke, Jyoti Joshi, Stefan Scherer
2018	A	`conf`	Recognition of Echolalic Autistic Child Vocalisations Utilising Convolutional Recurrent Neural Networks. INTERSPEECH Shahin Amiriparian, Alice Baird, Sahib Julka, Alyssa Alcorn, Sandra Ottl, Suncica Petrovic, Eloise Ainger, Nicholas Cummins, Björn W. Schuller
2018	—	`conf`	Robust Laughter Detection for Wearable Wellbeing Sensing. DH Gerhard Hagerer, Nicholas Cummins, Florian Eyben, Björn W. Schuller
2018	A	`conf`	State of Mind: Classification through Self-reported Affect and Word Use in Speech. INTERSPEECH Eva-Maria Rathner, Yannik Terhorst, Nicholas Cummins, Björn W. Schuller, Harald Baumeister
2018	A	`conf`	The Perception and Analysis of the Likeability and Human Likeness of Synthesized Speech. INTERSPEECH Alice Baird, Emilia Parada-Cabaleiro, Simone Hantke, Felix Burkhardt, Nicholas Cummins, Björn W. Schuller
2018	J	`jnl`	Trustability-Based Dynamic Active Learning for Crowdsourced Labelling of Emotional Audio Data. IEEE Access Simone Hantke, Alexander Abstreiter, Nicholas Cummins, Björn W. Schuller
2018	Misc	`conf`	What is my Dog Trying to Tell Me? the Automatic Recognition of the Context and Perceived Emotion of Dog Barks. ICASSP Simone Hantke, Nicholas Cummins, Björn W. Schuller
2017	A	`conf`	"Did you laugh enough today?" - Deep Neural Networks for Mobile and Wearable Laughter Trackers. INTERSPEECH Gerhard Hagerer, Nicholas Cummins, Florian Eyben, Björn W. Schuller
2017	—	`conf`	"You sound ill, take the day off": Automatic recognition of speech affected by upper respiratory tract infection. EMBC Nicholas Cummins, Maximilian Schmitt, Shahin Amiriparian, Jarek Krajewski, Björn W. Schuller
2017	J	`jnl`	A Two-Dimensional Framework of Multiple Kernel Subspace Learning for Recognizing Emotion in Speech. IEEE ACM Trans. Audio Speech Lang. Process. Xinzhou Xu, Jun Deng, Nicholas Cummins, Zixing Zhang, Chen Wu, Li Zhao, Björn W. Schuller
2017	—	`conf`	AVEC 2017: Real-life Depression, and Affect Recognition Workshop and Challenge. AVEC@ACM Multimedia Fabien Ringeval, Björn W. Schuller, Michel F. Valstar, Jonathan Gratch, Roddy Cowie, Stefan Scherer, Sharon Mozgai, Nicholas Cummins, Maximilian Schmitt, Maja Pantic
2017	J	`jnl`	Advanced Data Exploitation in Speech Analysis: An overview. IEEE Signal Process. Mag. Zixing Zhang, Nicholas Cummins, Björn W. Schuller
2017	A	`conf`	An 'End-to-Evolution' Hybrid Approach for Snore Sound Classification. INTERSPEECH Michael Freitag, Shahin Amiriparian, Nicholas Cummins, Maurice Gerczuk, Björn W. Schuller
2017	A*	`conf`	An Image-based Deep Spectrum Feature Representation for the Recognition of Emotional Speech. ACM Multimedia Nicholas Cummins, Shahin Amiriparian, Gerhard Hagerer, Anton Batliner, Stefan Steidl, Björn W. Schuller
2017	A	`conf`	Automatic Classification of Autistic Child Vocalisations: A Novel Database and Results. INTERSPEECH Alice Baird, Shahin Amiriparian, Nicholas Cummins, Alyssa M. Alcorn, Anton Batliner, Sergey Pugachevskiy, Michael Freitag, Maurice Gerczuk, Björn W. Schuller
2017	B	`conf`	CAST a database: Rapid targeted large-scale big data acquisition via small-world modelling of social media platforms. ACII Shahin Amiriparian, Sergey Pugachevskiy, Nicholas Cummins, Simone Hantke, Jouni Pohjalainen, Gil Keren, Björn W. Schuller
2017	A	`conf`	Earlier Identification of Children with Autism Spectrum Disorder: An Automatic Vocalisation-Based Approach. INTERSPEECH Florian B. Pokorny, Björn W. Schuller, Peter B. Marschik, Raymond Brueckner, Pär Nyström, Nicholas Cummins, Sven Bölte, Christa Einspieler, Terje Falck-Ytter
2017	A	`conf`	Emotional Speech of Mentally and Physically Disabled Individuals: Introducing the EmotAsS Database and First Findings. INTERSPEECH Simone Hantke, Hesam Sagha, Nicholas Cummins, Björn W. Schuller
2017	B	`conf`	Enhancing Speech-Based Depression Detection Through Gender Dependent Vowel-Level Formant Features. AIME Nicholas Cummins, Bogdan Vlasenko, Hesam Sagha, Björn W. Schuller
2017	—	`conf`	Feature selection in multimodal continuous emotion prediction. ACII Workshops Shahin Amiriparian, Michael Freitag, Nicholas Cummins, Björn W. Schuller
2017	A	`conf`	Implementing Gender-Dependent Vowel-Level Analysis for Boosting Speech-Based Depression Recognition. INTERSPEECH Bogdan Vlasenko, Hesam Sagha, Nicholas Cummins, Björn W. Schuller
2017	—	`conf`	Perception of Paralinguistic Traits in Synthesized Voices. Audio Mostly Conference Alice Baird, Stina Hasse Jørgensen, Emilia Parada-Cabaleiro, Simone Hantke, Nicholas Cummins, Björn W. Schuller
2017	—	`conf`	Sentiment analysis using image-based deep spectrum features. ACII Workshops Shahin Amiriparian, Nicholas Cummins, Sandra Ottl, Maurice Gerczuk, Björn W. Schuller
2017	—	`conf`	Sequence to Sequence Autoencoders for Unsupervised Representation Learning from Audio. DCASE Shahin Amiriparian, Michael Freitag, Nicholas Cummins, Björn W. Schuller
2017	A	`conf`	Snore Sound Classification Using Image-Based Deep Spectrum Features. INTERSPEECH Shahin Amiriparian, Maurice Gerczuk, Sandra Ottl, Nicholas Cummins, Michael Freitag, Sergey Pugachevskiy, Alice Baird, Björn W. Schuller
2017	—	`conf`	Snore sound recognition: On wavelets and classifiers from deep nets to kernels. EMBC Kun Qian, Christoph Janott, Jun Deng, Clemens Heiser, Winfried Hohenhorst, Michael Herzog, Nicholas Cummins, Björn W. Schuller
2017	—	`conf`	Speech-based Diagnosis of Autism Spectrum Condition by Generative Adversarial Network Representations. DH Jun Deng, Nicholas Cummins, Maximilian Schmitt, Kun Qian, Fabien Ringeval, Björn W. Schuller
2017	J	`jnl`	Stacked denoising autoencoders for sentiment analysis: a review. WIREs Data Mining Knowl. Discov. Hesam Sagha, Nicholas Cummins, Björn W. Schuller
2017	A	`conf`	Stimulation of psychological listener experiences by semi-automatically composed electroacoustic environments. ICME Emilia Parada-Cabaleiro, Alice Baird, Nicholas Cummins, Björn W. Schuller
2017	J	`jnl`	Strength modelling for real-worldautomatic continuous affect recognition from audiovisual signals. Image Vis. Comput. Jing Han, Zixing Zhang, Nicholas Cummins, Fabien Ringeval, Björn W. Schuller
2017	—	`conf`	The Perception of Emotion in the Singing Voice: The Understanding of Music Mood for Music Organisation. DLfM Emilia Parada-Cabaleiro, Alice Baird, Anton Batliner, Nicholas Cummins, Simone Hantke, Björn W. Schuller
2017	A	`conf`	The Perception of Emotions in Noisified Nonsense Speech. INTERSPEECH Emilia Parada-Cabaleiro, Alice Baird, Anton Batliner, Nicholas Cummins, Simone Hantke, Björn W. Schuller
2017	J	`jnl`	auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networks. CoRR Michael Freitag, Shahin Amiriparian, Sergey Pugachevskiy, Nicholas Cummins, Björn W. Schuller
2017	J	`jnl`	auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networks. J. Mach. Learn. Res. Michael Freitag, Shahin Amiriparian, Sergey Pugachevskiy, Nicholas Cummins, Björn W. Schuller
2016	A	`conf`	An Investigation of Emotional Speech in Depression Classification. INTERSPEECH Brian Stasak, Julien Epps, Nicholas Cummins, Roland Goecke
2016	—	`conf`	The University of Passau Open Emotion Recognition System for the Multimodal Emotion Challenge. CCPR (2) Jun Deng, Nicholas Cummins, Jing Han, Xinzhou Xu, Zhao Ren, Vedhas Pandit, Zixing Zhang, Björn W. Schuller
2015	J	`jnl`	A review of depression and suicide risk assessment using speech analysis. Speech Commun. Nicholas Cummins, Stefan Scherer, Jarek Krajewski, Sebastian Schnieder, Julien Epps, Thomas F. Quatieri
2015	—	`conf`	An Investigation of Annotation Delay Compensation and Output-Associative Fusion for Multimodal Continuous Emotion Prediction. AVEC@ACM Multimedia Zhaocheng Huang, Ting Dang, Nicholas Cummins, Brian Stasak, Phu Ngoc Le, Vidhyasaharan Sethu, Julien Epps
2015	J	`jnl`	Analysis of acoustic space variability in speech affected by depression. Speech Commun. Nicholas Cummins, Vidhyasaharan Sethu, Julien Epps, Sebastian Schnieder, Jarek Krajewski
2015	A	`conf`	Relevance vector machine for depression prediction. INTERSPEECH Nicholas Cummins, Vidhyasaharan Sethu, Julien Epps, Jarek Krajewski
2015	—	`conf`	The use of technology in Suicide Prevention. EMBC Mark E. Larsen, Nicholas Cummins, Tjeerd W. Boonstra, Bridianne O'Dea, Joe Tighe, Jennifer Nicholas, Fiona Shand, Julien Epps, Helen Christensen
2015	Misc	`conf`	Weighted pairwise Gaussian likelihood regression for depression score prediction. ICASSP Nicholas Cummins, Julien Epps, Vidhyasaharan Sethu, Jarek Krajewski
2014	A	`conf`	Probabilistic acoustic volume analysis for speech affected by depression. INTERSPEECH Nicholas Cummins, Vidhyasaharan Sethu, Julien Epps, Jarek Krajewski
2014	Misc	`conf`	Variability compensation in small data: Oversampled extraction of i-vectors for the classification of depressed speech. ICASSP Nicholas Cummins, Julien Epps, Vidhyasaharan Sethu, Jarek Krajewski
2013	—	`conf`	Diagnosis of depression by behavioural signals: a multimodal approach. AVEC@ACM Multimedia Nicholas Cummins, Jyoti Joshi, Abhinav Dhall, Vidhyasaharan Sethu, Roland Goecke, Julien Epps
2013	A	`conf`	Modeling spectral variability for the classification of depressed speech. INTERSPEECH Nicholas Cummins, Julien Epps, Vidhyasaharan Sethu, Michael Breakspear, Roland Goecke
2013	Misc	`conf`	Spectro-temporal analysis of speech affected by depression and psychomotor retardation. ICASSP Nicholas Cummins, Julien Epps, Eliathamby Ambikairajah
2012	A	`conf`	A Comparison of Classification Paradigms for Speaker Likeability Determination. INTERSPEECH Nicholas Cummins, Julien Epps, Jia Min Karen Kua
2011	A	`conf`	An Investigation of Depressed Speech Detection: Features and Normalization. INTERSPEECH Nicholas Cummins, Julien Epps, Michael Breakspear, Roland Goecke