An Investigation of Depressed Speech Detection: Features and Normalization. - Nicholas Cummins; Julien Epps; Michael Breakspear; Roland Goecke (INTERSPEECH, 2011)

A Comparison of Classification Paradigms for Speaker Likeability Determination. - Nicholas Cummins; Julien Epps; Jia Min Karen Kua (INTERSPEECH, 2012)

Spectro-temporal analysis of speech affected by depression and psychomotor retardation. - Nicholas Cummins; Julien Epps; Eliathamby Ambikairajah (ICASSP, 2013)

Modeling spectral variability for the classification of depressed speech. - Nicholas Cummins; Julien Epps; Vidhyasaharan Sethu; Michael Breakspear; Roland Goecke (INTERSPEECH, 2013)

Diagnosis of depression by behavioural signals: a multimodal approach. - Nicholas Cummins; Jyoti Joshi; Abhinav Dhall; Vidhyasaharan Sethu; Roland Goecke; Julien Epps (AVEC@ACM Multimedia, 2013)

Variability compensation in small data: Oversampled extraction of i-vectors for the classification of depressed speech. - Nicholas Cummins; Julien Epps; Vidhyasaharan Sethu; Jarek Krajewski (ICASSP, 2014)

Probabilistic acoustic volume analysis for speech affected by depression. - Nicholas Cummins; Vidhyasaharan Sethu; Julien Epps; Jarek Krajewski (INTERSPEECH, 2014)

The use of technology in Suicide Prevention. - Mark E. Larsen; Nicholas Cummins; Tjeerd W. Boonstra; Bridianne O'Dea; Joe Tighe; Jennifer Nicholas; Fiona Shand; Julien Epps; Helen Christensen (EMBC, 2015)

Weighted pairwise Gaussian likelihood regression for depression score prediction. - Nicholas Cummins; Julien Epps; Vidhyasaharan Sethu; Jarek Krajewski (ICASSP, 2015)

Relevance vector machine for depression prediction. - Nicholas Cummins; Vidhyasaharan Sethu; Julien Epps; Jarek Krajewski (INTERSPEECH, 2015)

An Investigation of Annotation Delay Compensation and Output-Associative Fusion for Multimodal Continuous Emotion Prediction. - Zhaocheng Huang; Ting Dang; Nicholas Cummins; Brian Stasak; Phu Ngoc Le; Vidhyasaharan Sethu; Julien Epps (AVEC@ACM Multimedia, 2015)

Analysis of acoustic space variability in speech affected by depression. - Nicholas Cummins; Vidhyasaharan Sethu; Julien Epps; Sebastian Schnieder; Jarek Krajewski (Speech Commun., 2015)

A review of depression and suicide risk assessment using speech analysis. - Nicholas Cummins; Stefan Scherer; Jarek Krajewski; Sebastian Schnieder; Julien Epps; Thomas F. Quatieri (Speech Commun., 2015)

The University of Passau Open Emotion Recognition System for the Multimodal Emotion Challenge. - Jun Deng; Nicholas Cummins; Jing Han 010; Xinzhou Xu; Zhao Ren; Vedhas Pandit; Zixing Zhang 001; Björn W. Schuller (CCPR (2), 2016)

An Investigation of Emotional Speech in Depression Classification. - Brian Stasak; Julien Epps; Nicholas Cummins; Roland Goecke (INTERSPEECH, 2016)

Sentiment analysis using image-based deep spectrum features. - Shahin Amiriparian; Nicholas Cummins; Sandra Ottl; Maurice Gerczuk; Björn W. Schuller (ACII Workshops, 2017)

Feature selection in multimodal continuous emotion prediction. - Shahin Amiriparian; Michael Freitag 003; Nicholas Cummins; Björn W. Schuller (ACII Workshops, 2017)

CAST a database: Rapid targeted large-scale big data acquisition via small-world modelling of social media platforms. - Shahin Amiriparian; Sergey Pugachevskiy; Nicholas Cummins; Simone Hantke; Jouni Pohjalainen; Gil Keren; Björn W. Schuller (ACII, 2017)

Enhancing Speech-Based Depression Detection Through Gender Dependent Vowel-Level Formant Features. - Nicholas Cummins; Bogdan Vlasenko; Hesam Sagha; Björn W. Schuller (AIME, 2017)

Perception of Paralinguistic Traits in Synthesized Voices. - Alice Baird; Stina Hasse Jørgensen; Emilia Parada-Cabaleiro; Simone Hantke; Nicholas Cummins; Björn W. Schuller (Audio Mostly Conference, 2017)

Sequence to Sequence Autoencoders for Unsupervised Representation Learning from Audio. - Shahin Amiriparian; Michael Freitag 003; Nicholas Cummins; Björn W. Schuller (DCASE, 2017)

Speech-based Diagnosis of Autism Spectrum Condition by Generative Adversarial Network Representations. - Jun Deng; Nicholas Cummins; Maximilian Schmitt; Kun Qian 003; Fabien Ringeval; Björn W. Schuller (DH, 2017)

"You sound ill, take the day off": Automatic recognition of speech affected by upper respiratory tract infection. - Nicholas Cummins; Maximilian Schmitt; Shahin Amiriparian; Jarek Krajewski; Björn W. Schuller (EMBC, 2017)

Snore sound recognition: On wavelets and classifiers from deep nets to kernels. - Kun Qian 003; Christoph Janott; Jun Deng; Clemens Heiser; Winfried Hohenhorst; Michael Herzog; Nicholas Cummins; Björn W. Schuller (EMBC, 2017)

Stimulation of psychological listener experiences by semi-automatically composed electroacoustic environments. - Emilia Parada-Cabaleiro; Alice Baird; Nicholas Cummins; Björn W. Schuller (ICME, 2017)

Snore Sound Classification Using Image-Based Deep Spectrum Features. - Shahin Amiriparian; Maurice Gerczuk; Sandra Ottl; Nicholas Cummins; Michael Freitag 003; Sergey Pugachevskiy; Alice Baird; Björn W. Schuller (INTERSPEECH, 2017)

Automatic Classification of Autistic Child Vocalisations: A Novel Database and Results. - Alice Baird; Shahin Amiriparian; Nicholas Cummins; Alyssa M. Alcorn; Anton Batliner; Sergey Pugachevskiy; Michael Freitag 003; Maurice Gerczuk; Björn W. Schuller (INTERSPEECH, 2017)

An 'End-to-Evolution' Hybrid Approach for Snore Sound Classification. - Michael Freitag 003; Shahin Amiriparian; Nicholas Cummins; Maurice Gerczuk; Björn W. Schuller (INTERSPEECH, 2017)

"Did you laugh enough today?" - Deep Neural Networks for Mobile and Wearable Laughter Trackers. - Gerhard Hagerer; Nicholas Cummins; Florian Eyben; Björn W. Schuller (INTERSPEECH, 2017)

Emotional Speech of Mentally and Physically Disabled Individuals: Introducing the EmotAsS Database and First Findings. - Simone Hantke; Hesam Sagha; Nicholas Cummins; Björn W. Schuller (INTERSPEECH, 2017)

The Perception of Emotions in Noisified Nonsense Speech. - Emilia Parada-Cabaleiro; Alice Baird; Anton Batliner; Nicholas Cummins; Simone Hantke; Björn W. Schuller (INTERSPEECH, 2017)

Earlier Identification of Children with Autism Spectrum Disorder: An Automatic Vocalisation-Based Approach. - Florian B. Pokorny; Björn W. Schuller; Peter B. Marschik; Raymond Brueckner; Pär Nyström; Nicholas Cummins; Sven Bölte; Christa Einspieler; Terje Falck-Ytter (INTERSPEECH, 2017)

Implementing Gender-Dependent Vowel-Level Analysis for Boosting Speech-Based Depression Recognition. - Bogdan Vlasenko; Hesam Sagha; Nicholas Cummins; Björn W. Schuller (INTERSPEECH, 2017)

The Perception of Emotion in the Singing Voice: The Understanding of Music Mood for Music Organisation. - Emilia Parada-Cabaleiro; Alice Baird; Anton Batliner; Nicholas Cummins; Simone Hantke; Björn W. Schuller (DLfM, 2017)

An Image-based Deep Spectrum Feature Representation for the Recognition of Emotional Speech. - Nicholas Cummins; Shahin Amiriparian; Gerhard Hagerer; Anton Batliner; Stefan Steidl; Björn W. Schuller (ACM Multimedia, 2017)

AVEC 2017: Real-life Depression, and Affect Recognition Workshop and Challenge. - Fabien Ringeval; Björn W. Schuller; Michel F. Valstar; Jonathan Gratch; Roddy Cowie; Stefan Scherer; Sharon Mozgai; Nicholas Cummins; Maximilian Schmitt; Maja Pantic (AVEC@ACM Multimedia, 2017)

Strength modelling for real-worldautomatic continuous affect recognition from audiovisual signals. - Jing Han 010; Zixing Zhang 001; Nicholas Cummins; Fabien Ringeval; Björn W. Schuller (Image Vis. Comput., 2017)

auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networks. - Michael Freitag 003; Shahin Amiriparian; Sergey Pugachevskiy; Nicholas Cummins; Björn W. Schuller (J. Mach. Learn. Res., 2017)

Advanced Data Exploitation in Speech Analysis: An overview. - Zixing Zhang 001; Nicholas Cummins; Björn W. Schuller (IEEE Signal Process. Mag., 2017)

A Two-Dimensional Framework of Multiple Kernel Subspace Learning for Recognizing Emotion in Speech. - Xinzhou Xu; Jun Deng; Nicholas Cummins; Zixing Zhang 001; Chen Wu; Li Zhao 003; Björn W. Schuller (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

Stacked denoising autoencoders for sentiment analysis: a review. - Hesam Sagha; Nicholas Cummins; Björn W. Schuller (WIREs Data Mining Knowl. Discov., 2017)

Multimodal assessment of depression from behavioral signals. - Jeffrey F. Cohn; Nicholas Cummins; Julien Epps; Roland Goecke; Jyoti Joshi; Stefan Scherer (The Handbook of Multimodal-Multisensor Interfaces, Volume 2 (2), 2018)

Evaluation of the Pain Level from Speech: Introducing a Novel Pain Database and Benchmarks. - Zhao Ren; Nicholas Cummins; Jing Han 010; Sebastian Schnieder; Jarek Krajewski; Björn W. Schuller (ITG Symposium on Speech Communication, 2018)

Robust Laughter Detection for Wearable Wellbeing Sensing. - Gerhard Hagerer; Nicholas Cummins; Florian Eyben; Björn W. Schuller (DH, 2018)

Learning Image-based Representations for Heart Sound Classification. - Zhao Ren; Nicholas Cummins; Vedhas Pandit; Jing Han 010; Kun Qian 003; Björn W. Schuller (DH, 2018)

Deep Unsupervised Representation Learning for Abnormal Heart Sound Classification. - Shahin Amiriparian; Maximilian Schmitt; Nicholas Cummins; Kun Qian 003; Fengquan Dong; Björn W. Schuller (EMBC, 2018)

Low Level Texture Features for Snore Sound Discrimination. - Fatih Demir; Abdulkadir Sengür; Nicholas Cummins; Shahin Amiriparian; Björn W. Schuller (EMBC, 2018)

A Fusion of Deep Convolutional Generative Adversarial Networks and Sequence to Sequence Autoencoders for Acoustic Scene Classification. - Shahin Arniriparian; Michael Freitag 003; Nicholas Cummins; Maurice Gerczuk; Sergey Pugachevskiy; Björn W. Schuller (EUSIPCO, 2018)

Multimodal Bag-of-Words for Cross Domains Sentiment Analysis. - Nicholas Cummins; Shahin Amiriparian; Sandra Ottl; Maurice Gerczuk; Maximilian Schmitt; Björn W. Schuller (ICASSP, 2018)

What is my Dog Trying to Tell Me? the Automatic Recognition of the Context and Perceived Emotion of Dog Barks. - Simone Hantke; Nicholas Cummins; Björn W. Schuller (ICASSP, 2018)

Deep End-to-End Representation Learning for Food Type Recognition from Speech. - Benjamin Sertolli; Nicholas Cummins; Abdulkadir Sengür; Björn W. Schuller (ICMI, 2018)

Emotion-Awareness for Intelligent Vehicle Assistants: A Research Agenda. - 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; et al. (SEFAIAS@ICSE, 2018)

Bag-of-Deep-Features: Noise-Robust Deep Feature Representations for Audio Analysis. - Shahin Amiriparian; Maurice Gerczuk; Sandra Ottl; Nicholas Cummins; Sergey Pugachevskiy; Björn W. Schuller (IJCNN, 2018)

Recognition of Echolalic Autistic Child Vocalisations Utilising Convolutional Recurrent Neural Networks. - Shahin Amiriparian; Alice Baird; Sahib Julka; Alyssa Alcorn; Sandra Ottl; Suncica Petrovic; Eloise Ainger; Nicholas Cummins; Björn W. Schuller (INTERSPEECH, 2018)

The Perception and Analysis of the Likeability and Human Likeness of Synthesized Speech. - Alice Baird; Emilia Parada-Cabaleiro; Simone Hantke; Felix Burkhardt; Nicholas Cummins; Björn W. Schuller (INTERSPEECH, 2018)

How Did You like 2017? Detection of Language Markers of Depression and Narcissism in Personal Narratives. - Eva-Maria Rathner; Julia Djamali; Yannik Terhorst; Björn W. Schuller; Nicholas Cummins; Gudrun Salamon; Christina Hunger-Schoppe; Harald Baumeister (INTERSPEECH, 2018)

State of Mind: Classification through Self-reported Affect and Word Use in Speech. - Eva-Maria Rathner; Yannik Terhorst; Nicholas Cummins; Björn W. Schuller; Harald Baumeister (INTERSPEECH, 2018)

AVEC 2018 Workshop and Challenge: Bipolar Disorder and Cross-Cultural Affect Recognition. - 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; et al. (AVEC@MM, 2018)

How Good Is Your Model 'Really'? On 'Wildness' of the In-the-Wild Speech-Based Affect Recognisers. - Vedhas Pandit; Maximilian Schmitt; Nicholas Cummins; Franz Graf 002; Lucas Paletta; Björn W. Schuller (SPECOM, 2018)

Trustability-Based Dynamic Active Learning for Crowdsourced Labelling of Emotional Audio Data. - Simone Hantke; Alexander Abstreiter; Nicholas Cummins; Björn W. Schuller (IEEE Access, 2018)

Calibrated Prediction Intervals for Neural Network Regressors. - Gil Keren; Nicholas Cummins; Björn W. Schuller (IEEE Access, 2018)

Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives. - Jing Han 010; Zixing Zhang 001; Nicholas Cummins; Björn W. Schuller (CoRR, 2018)

I Know How you Feel Now, and Here's why!: Demystifying Time-Continuous High Resolution Text-Based Affect Predictions in the Wild. - Vedhas Pandit; Maximilian Schmitt; Nicholas Cummins; Björn W. Schuller (CBMS, 2019)

Multi-instance Learning for Bipolar Disorder Diagnosis using Weakly Labelled Speech Data. - Zhao Ren; Jing Han 010; Nicholas Cummins; Qiuqiang Kong; Mark D. Plumbley; Björn W. Schuller (PDH, 2019)

Performance Analysis of Unimodal and Multimodal Models in Valence-Based Empathy Recognition. - Adria Mallol-Ragolta; Maximilian Schmitt; Alice Baird; Nicholas Cummins; Björn W. Schuller (FG, 2019)

Context Modelling Using Hierarchical Attention Networks for Sentiment and Self-assessed Emotion Detection in Spoken Narratives. - Lukas Stappen; Nicholas Cummins; Eva-Maria Meßner; Harald Baumeister; Judith Dineley; Björn W. Schuller (ICASSP, 2019)

Analysing and Inferring of Intimacy Based on fNIRS Signals and Peripheral Physiological Signals. - Chao Li; Qian Zhang; Ziping Zhao 001; Li Gu; Nicholas Cummins; Björn W. Schuller (IJCNN, 2019)

Using Speech to Predict Sequentially Measured Cortisol Levels During a Trier Social Stress Test. - Alice Baird; Shahin Amiriparian; Nicholas Cummins; Sarah Sturmbauer; Johanna Janson; Eva-Maria Meßner; Harald Baumeister; Nicolas Rohleder; Björn W. Schuller (INTERSPEECH, 2019)

A Hierarchical Attention Network-Based Approach for Depression Detection from Transcribed Clinical Interviews. - Adria Mallol-Ragolta; Ziping Zhao 001; Lukas Stappen; Nicholas Cummins; Björn W. Schuller (INTERSPEECH, 2019)

Continuous Emotion Recognition in Speech - Do We Need Recurrence? - Maximilian Schmitt; Nicholas Cummins; Björn W. Schuller (INTERSPEECH, 2019)

Autonomous Emotion Learning in Speech: A View of Zero-Shot Speech Emotion Recognition. - Xinzhou Xu; Jun Deng; Nicholas Cummins; Zixing Zhang 001; Li Zhao 003; Björn W. Schuller (INTERSPEECH, 2019)

Attention-Enhanced Connectionist Temporal Classification for Discrete Speech Emotion Recognition. - Ziping Zhao 001; Zhongtian Bao; Zixing Zhang 001; Nicholas Cummins; Haishuai Wang; Björn W. Schuller (INTERSPEECH, 2019)

AVEC'19: Audio/Visual Emotion Challenge and Workshop. - Fabien Ringeval; Björn W. Schuller; Michel F. Valstar; Nicholas Cummins; Roddy Cowie; Maja Pantic (ACM Multimedia, 2019)

AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition. - 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 012; et al. (AVEC@MM, 2019)

From Speech to Facial Activity: Towards Cross-modal Sequence-to-Sequence Attention Networks. - Lukas Stappen; Vincent Karas; Nicholas Cummins; Fabien Ringeval; Klaus R. Scherer; Björn W. Schuller (MMSP, 2019)

Exploring Deep Spectrum Representations via Attention-Based Recurrent and Convolutional Neural Networks for Speech Emotion Recognition. - Ziping Zhao 001; Zhongtian Bao; Yiqin Zhao; Zixing Zhang 001; Nicholas Cummins; Zhao Ren; Björn W. Schuller (IEEE Access, 2019)

Voice command generation using Progressive Wavegans. - Thomas Wiest; Nicholas Cummins; Alice Baird; Simone Hantke; Judith Dineley; Björn W. Schuller (CoRR, 2019)

The Ambiguous World of Emotion Representation. - Vidhyasaharan Sethu; Emily Mower Provost; Julien Epps; Carlos Busso; Nicholas Cummins; Shrikanth S. Narayanan (CoRR, 2019)

A Curriculum Learning Approach for Pain Intensity Recognition from Facial Expressions. - Adria Mallol-Ragolta; Shuo Liu 012; Nicholas Cummins; Björn W. Schuller (FG, 2020)

Hierarchical Attention Transfer Networks for Depression Assessment from Speech. - Ziping Zhao 001; Zhongtian Bao; Zixing Zhang 001; Nicholas Cummins; Haishuai Wang; Björn W. Schuller (ICASSP, 2020)

Hierarchical Component-attention Based Speaker Turn Embedding for Emotion Recognition. - Shuo Liu 012; Jinlong Jiao; Ziping Zhao 001; Judith Dineley; Nicholas Cummins; Björn W. Schuller (IJCNN, 2020)

Squeeze for Sneeze: Compact Neural Networks for Cold and Flu Recognition. - Merlin Albes; Zhao Ren; Björn W. Schuller; Nicholas Cummins (INTERSPEECH, 2020)

An Evaluation of the Effect of Anxiety on Speech - Computational Prediction of Anxiety from Sustained Vowels. - Alice Baird; Nicholas Cummins; Sebastian Schnieder; Jarek Krajewski; Björn W. Schuller (INTERSPEECH, 2020)

A Comparison of Acoustic and Linguistics Methodologies for Alzheimer's Dementia Recognition. - 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 (INTERSPEECH, 2020)

An Investigation of Cross-Cultural Semi-Supervised Learning for Continuous Affect Recognition. - Adria Mallol-Ragolta; Nicholas Cummins; Björn W. Schuller (INTERSPEECH, 2020)

Enhancing Transferability of Black-Box Adversarial Attacks via Lifelong Learning for Speech Emotion Recognition Models. - Zhao Ren; Jing Han 010; Nicholas Cummins; Björn W. Schuller (INTERSPEECH, 2020)

Hybrid Network Feature Extraction for Depression Assessment from Speech. - Ziping Zhao 001; Qifei Li; Nicholas Cummins; Bin Liu 041; Haishuai Wang; Jianhua Tao 001; Björn W. Schuller (INTERSPEECH, 2020)

Using smartphones and wearable devices to monitor behavioural changes during COVID-19. - 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; et al. (CoRR, 2020)

Five Crucial Challenges in Digital Health. - Nicholas Cummins; Björn W. Schuller (Frontiers Digit. Health, 2020)

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. - Vedhas Pandit; Maximilian Schmitt; Nicholas Cummins; Björn W. Schuller (Inf. Process. Manag., 2020)

Automatic Assessment of Depression From Speech via a Hierarchical Attention Transfer Network and Attention Autoencoders. - Ziping Zhao 001; Zhongtian Bao; Zixing Zhang 001; Jun Deng; Nicholas Cummins; Haishuai Wang; Jianhua Tao 001; Björn W. Schuller (IEEE J. Sel. Top. Signal Process., 2020)

Generalized Two-Stage Rank Regression Framework for Depression Score Prediction from Speech. - Nicholas Cummins; Vidhyasaharan Sethu; Julien Epps; James R. Williamson; Thomas F. Quatieri; Jarek Krajewski (IEEE Trans. Affect. Comput., 2020)

"Are You Playing a Shooter Again?!" Deep Representation Learning for Audio-Based Video Game Genre Recognition. - Shahin Amiriparian; Nicholas Cummins; Maurice Gerczuk; Sergey Pugachevskiy; Sandra Ottl; Björn W. Schuller (IEEE Trans. Games, 2020)

Hierarchical Attention-Based Temporal Convolutional Networks for Eeg-Based Emotion Recognition. - Chao Li; Boyang Chen; Ziping Zhao 001; Nicholas Cummins; Björn W. Schuller (ICASSP, 2021)

Socially Informed AI for Healthcare: Understanding and Generating Multimodal Nonverbal Cues. - Oya Çeliktutan; Alexandra Livia Georgescu; Nicholas Cummins (ICMI, 2021)

Remote Smartphone-Based Speech Collection: Acceptance and Barriers in Individuals with Major Depressive Disorder. - 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; et al. (Interspeech, 2021)

Remote smartphone-based speech collection: acceptance and barriers in individuals with major depressive disorder. - 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; et al. (CoRR, 2021)

Fitbeat: COVID-19 Estimation based on Wristband Heart Rate. - Shuo Liu 012; Jing Han 010; Estela Laporta Puyal; Spyridon Kontaxis; Shaoxiong Sun; Patrick Locatelli; Judith Dineley; Florian B. Pokorny; Gloria Dalla Costa; Letizia Leocani; Ana Isabel Guerrero; Carlos Nos; et al. (CoRR, 2021)

Predicting Depressive Symptom Severity through Individuals' Nearby Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary Longitudinal Study. - 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; et al. (CoRR, 2021)

Representation transfer learning from deep end-to-end speech recognition networks for the classification of health states from speech. - Benjamin Sertolli; Zhao Ren; Björn W. Schuller; Nicholas Cummins (Comput. Speech Lang., 2021)

Combining a parallel 2D CNN with a self-attention Dilated Residual Network for CTC-based discrete speech emotion recognition. - Ziping Zhao 001; Qifei Li; Zixing Zhang 001; Nicholas Cummins; Haishuai Wang; Jianhua Tao 001; Björn W. Schuller (Neural Networks, 2021)

Guided Generative Adversarial Neural Network for Representation Learning and Audio Generation Using Fewer Labelled Audio Data. - Kazi Nazmul Haque; Rajib Rana; Jiajun Liu; John H. L. Hansen; Nicholas Cummins; Carlos Busso; Björn W. Schuller (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Predictable Robots for Autistic Children - Variance in Robot Behaviour, Idiosyncrasies in Autistic Children's Characteristics, and Child-Robot Engagement. - Bob R. Schadenberg; Dennis Reidsma; Vanessa Evers; Daniel P. Davison; Jamy J. Li; Dirk K. J. Heylen; Carlos Neves 004; Paulo Alvito; Jie Shen 008; Maja Pantic; Björn W. Schuller; Nicholas Cummins; et al. (ACM Trans. Comput. Hum. Interact., 2021)

Self-attention transfer networks for speech emotion recognition. - Ziping Zhao 001; Zhongtian Bao; Zixing Zhang 001; Nicholas Cummins; Shihuang Sun; Haishuai Wang; Jianhua Tao 001; Björn W. Schuller (Virtual Real. Intell. Hardw., 2021)

Speech and Text Processing for Major Depressive Disorder Detection. - Edward L. Campbell; Laura Docío Fernández; Nicholas Cummins; Carmen García-Mateo (IberSPEECH, 2022)

Speech and the n-Back task as a lens into depression. How combining both may allow us to isolate different core symptoms of depression. - Salvatore Fara; Stefano Goria; Emilia Molimpakis; Nicholas Cummins (INTERSPEECH, 2022)

Automatic Detection of Expressed Emotion from Five-Minute Speech Samples: Challenges and Opportunities. - Bahman Mirheidari; André Bittar; Nicholas Cummins; Johnny Downs; Helen L. Fisher; Heidi Christensen (INTERSPEECH, 2022)

Automatic detection of short-term sleepiness state. Sequence-to-Sequence modelling with global attention mechanism. - Edward L. Campbell; Laura Docío Fernández; Carmen García-Mateo; André Wittenborn; Jarek Krajewski; Nicholas Cummins (SMM, 2022)

The Potential of smartphones voice recordings to monitor depression severity. - Nicholas Cummins (SMM, 2022)

The utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditions. - Shaoxiong Sun; Amos A. Folarin; Yuezhou Zhang; Nicholas Cummins; Shuo Liu 012; Callum L. Stewart; Yatharth Ranjan; Zulqarnain Rashid; Pauline Conde; Petroula Laiou; Heet Sankesara; Gloria Dalla Costa; et al. (Comput. Methods Programs Biomed., 2022)

Utilising Bayesian Networks to combine multimodal data and expert opinion for the robust prediction of depression and its symptoms. - Salvatore Fara; Orlaith Hickey; Alexandra Livia Georgescu; Stefano Goria; Emilia Molimpakis; Nicholas Cummins (CoRR, 2022)

Evaluating the Impact of Voice Activity Detection on Speech Emotion Recognition for Autistic Children. - Manuel Milling; Alice Baird; Katrin D. Bartl-Pokorny; Shuo Liu 012; Alyssa M. Alcorn; Jie Shen 008; Teresa Tavassoli; Eloise Ainger; Elizabeth Pellicano; Maja Pantic; Nicholas Cummins; Björn W. Schuller (Frontiers Comput. Sci., 2022)

Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder. - Shuo Liu 012; Jing Han 010; Estela Laporta Puyal; Spyridon Kontaxis; Shaoxiong Sun; Patrick Locatelli; Judith Dineley; Florian B. Pokorny; Gloria Dalla Costa; Letizia Leocani; Ana Isabel Guerrero; Carlos Nos; et al. (Pattern Recognit., 2022)

Automatic Emotion Recognition in Children with Autism: A Systematic Literature Review. - Agnieszka Landowska; Aleksandra Karpus; Teresa Zawadzka; Ben Robins; Duygun Erol Barkana; Hatice Kose; Tatjana Zorcec; Nicholas Cummins (Sensors, 2022)

Exploring Zero-Shot Emotion Recognition in Speech Using Semantic-Embedding Prototypes. - Xinzhou Xu; Jun Deng; Nicholas Cummins; Zixing Zhang 001; Li Zhao 003; Björn W. Schuller (IEEE Trans. Multim., 2022)

Classifying depression symptom severity: Assessment of speech representations in personalized and generalized machine learning models. - 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; et al. (INTERSPEECH, 2023)

Towards robust paralinguistic assessment for real-world mobile health (mHealth) monitoring: an initial study of reverberation effects on speech. - Judith Dineley; Ewan Carr; Faith Matcham; Johnny Downs; Richard J. B. Dobson; Thomas F. Quatieri; Nicholas Cummins (INTERSPEECH, 2023)

Bayesian Networks for the robust and unbiased prediction of depression and its symptoms utilizing speech and multimodal data. - Salvatore Fara; Orlaith Hickey; Alexandra Livia Georgescu; Stefano Goria; Emilia Molimpakis; Nicholas Cummins (INTERSPEECH, 2023)

Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model. - 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; et al. (CoRR, 2023)

Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study. - 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; et al. (npj Digit. Medicine, 2023)

Automatic Assessment of the 2-Minute Walk Distance for Remote Monitoring of People with Multiple Sclerosis. - 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; et al. (Sensors, 2023)

Longitudinal Modeling of Depression Shifts Using Speech and Language. - 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; et al. (ICASSP, 2024)

Variability of speech timing features across repeated recordings: a comparison of open-source extraction techniques. - Judith Dineley; Ewan Carr; Lauren L. White; Catriona Lucas; Zahia Rahman; Tian Pan 004; Faith Matcham; Johnny Downs; Richard J. B. Dobson; Thomas F. Quatieri; Nicholas Cummins (INTERSPEECH, 2024)

Revealing Confounding Biases: A Novel Benchmarking Approach for Aggregate-Level Performance Metrics in Health Assessments. - Stefano Goria; Roseline Polle; Salvatore Fara; Nicholas Cummins (INTERSPEECH, 2024)

A pilot protocol and cohort for the investigation of non-pathological variability in speech. - Nicholas Cummins; Lauren L. White; Zahia Rahman; Catriona Lucas; Tian Pan 004; Ewan Carr; Faith Matcham; Johnny Downs; Richard J. B. Dobson; Judith Dineley (CoRR, 2024)

A Tutorial on Clinical Speech AI Development: From Data Collection to Model Validation. - Si-Ioi Ng; Lingfeng Xu; Ingo Siegert; Nicholas Cummins; Nina R. Benway; Julie Liss; Visar Berisha (CoRR, 2024)

Meta-Learning Approaches for Speaker-Dependent Voice Fatigue Models. - Roseline Polle; Agnes Norbury; Alexandra Livia Georgescu; Nicholas Cummins; Stefano Goria (CoRR, 2025)