Nicholas Cummins
Orcid: 0000-0002-1178-917XAffiliations:
- University of Augsburg, Department of Computer Science, Germany
According to our database1,
Nicholas Cummins
authored at least 116 papers
between 2011 and 2023.
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Bibliography
2023
Automatic Assessment of the 2-Minute Walk Distance for Remote Monitoring of People with Multiple Sclerosis.
Sensors, July, 2023
Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study.
npj Digit. Medicine, 2023
Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model.
CoRR, 2023
Towards robust paralinguistic assessment for real-world mobile health (mHealth) monitoring: an initial study of reverberation effects on speech.
CoRR, 2023
2022
Exploring Zero-Shot Emotion Recognition in Speech Using Semantic-Embedding Prototypes.
IEEE Trans. Multim., 2022
Automatic Emotion Recognition in Children with Autism: A Systematic Literature Review.
Sensors, 2022
Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder.
Pattern Recognit., 2022
Evaluating the Impact of Voice Activity Detection on Speech Emotion Recognition for Autistic Children.
Frontiers Comput. Sci., 2022
Utilising Bayesian Networks to combine multimodal data and expert opinion for the robust prediction of depression and its symptoms.
CoRR, 2022
The utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditions.
Comput. Methods Programs Biomed., 2022
Automatic Detection of Expressed Emotion from Five-Minute Speech Samples: Challenges and Opportunities.
Proceedings of the Interspeech 2022, 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.
Proceedings of the Interspeech 2022, 2022
2021
Virtual Real. Intell. Hardw., 2021
Predictable Robots for Autistic Children - Variance in Robot Behaviour, Idiosyncrasies in Autistic Children's Characteristics, and Child-Robot Engagement.
ACM Trans. Comput. Hum. Interact., 2021
Guided Generative Adversarial Neural Network for Representation Learning and Audio Generation Using Fewer Labelled Audio Data.
IEEE ACM Trans. Audio Speech Lang. Process., 2021
Combining a parallel 2D CNN with a self-attention Dilated Residual Network for CTC-based discrete speech emotion recognition.
Neural Networks, 2021
Representation transfer learning from deep end-to-end speech recognition networks for the classification of health states from speech.
Comput. Speech Lang., 2021
Predicting Depressive Symptom Severity through Individuals' Nearby Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary Longitudinal Study.
CoRR, 2021
Remote smartphone-based speech collection: acceptance and barriers in individuals with major depressive disorder.
CoRR, 2021
Remote Smartphone-Based Speech Collection: Acceptance and Barriers in Individuals with Major Depressive Disorder.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021
Socially Informed AI for Healthcare: Understanding and Generating Multimodal Nonverbal Cues.
Proceedings of the ICMI '21: International Conference on Multimodal Interaction, 2021
Hierarchical Attention-Based Temporal Convolutional Networks for Eeg-Based Emotion Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
"Are You Playing a Shooter Again?!" Deep Representation Learning for Audio-Based Video Game Genre Recognition.
IEEE Trans. Games, 2020
Generalized Two-Stage Rank Regression Framework for Depression Score Prediction from Speech.
IEEE Trans. Affect. Comput., 2020
Automatic Assessment of Depression From Speech via a Hierarchical Attention Transfer Network and Attention Autoencoders.
IEEE J. Sel. Top. Signal Process., 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.
Inf. Process. Manag., 2020
Using smartphones and wearable devices to monitor behavioural changes during COVID-19.
CoRR, 2020
Proceedings of the Interspeech 2020, 2020
Enhancing Transferability of Black-Box Adversarial Attacks via Lifelong Learning for Speech Emotion Recognition Models.
Proceedings of the Interspeech 2020, 2020
An Investigation of Cross-Cultural Semi-Supervised Learning for Continuous Affect Recognition.
Proceedings of the Interspeech 2020, 2020
A Comparison of Acoustic and Linguistics Methodologies for Alzheimer's Dementia Recognition.
Proceedings of the Interspeech 2020, 2020
An Evaluation of the Effect of Anxiety on Speech - Computational Prediction of Anxiety from Sustained Vowels.
Proceedings of the Interspeech 2020, 2020
Proceedings of the Interspeech 2020, 2020
Hierarchical Component-attention Based Speaker Turn Embedding for Emotion Recognition.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
A Curriculum Learning Approach for Pain Intensity Recognition from Facial Expressions.
Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020
2019
Exploring Deep Spectrum Representations via Attention-Based Recurrent and Convolutional Neural Networks for Speech Emotion Recognition.
IEEE Access, 2019
From Speech to Facial Activity: Towards Cross-modal Sequence-to-Sequence Attention Networks.
Proceedings of the 21st IEEE International Workshop on Multimedia Signal Processing, 2019
AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition.
Proceedings of the 9th International on Audio/Visual Emotion Challenge and Workshop, 2019
Proceedings of the 27th ACM International Conference on Multimedia, 2019
Attention-Enhanced Connectionist Temporal Classification for Discrete Speech Emotion Recognition.
Proceedings of the Interspeech 2019, 2019
Autonomous Emotion Learning in Speech: A View of Zero-Shot Speech Emotion Recognition.
Proceedings of the Interspeech 2019, 2019
Proceedings of the Interspeech 2019, 2019
A Hierarchical Attention Network-Based Approach for Depression Detection from Transcribed Clinical Interviews.
Proceedings of the Interspeech 2019, 2019
Using Speech to Predict Sequentially Measured Cortisol Levels During a Trier Social Stress Test.
Proceedings of the Interspeech 2019, 2019
Analysing and Inferring of Intimacy Based on fNIRS Signals and Peripheral Physiological Signals.
Proceedings of the International Joint Conference on Neural Networks, 2019
Context Modelling Using Hierarchical Attention Networks for Sentiment and Self-assessed Emotion Detection in Spoken Narratives.
Proceedings of the IEEE International Conference on Acoustics, 2019
Performance Analysis of Unimodal and Multimodal Models in Valence-Based Empathy Recognition.
Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019
Multi-instance Learning for Bipolar Disorder Diagnosis using Weakly Labelled Speech Data.
Proceedings of the 9th International Conference on Digital Public Health, 2019
I Know How you Feel Now, and Here's why!: Demystifying Time-Continuous High Resolution Text-Based Affect Predictions in the Wild.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019
2018
Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives.
CoRR, 2018
Trustability-Based Dynamic Active Learning for Crowdsourced Labelling of Emotional Audio Data.
IEEE Access, 2018
How Good Is Your Model 'Really'? On 'Wildness' of the In-the-Wild Speech-Based Affect Recognisers.
Proceedings of the Speech and Computer - 20th International Conference, 2018
AVEC 2018 Workshop and Challenge: Bipolar Disorder and Cross-Cultural Affect Recognition.
Proceedings of the 2018 on Audio/Visual Emotion Challenge and Workshop, 2018
Proceedings of the Interspeech 2018, 2018
How Did You like 2017? Detection of Language Markers of Depression and Narcissism in Personal Narratives.
Proceedings of the Interspeech 2018, 2018
The Perception and Analysis of the Likeability and Human Likeness of Synthesized Speech.
Proceedings of the Interspeech 2018, 2018
Recognition of Echolalic Autistic Child Vocalisations Utilising Convolutional Recurrent Neural Networks.
Proceedings of the Interspeech 2018, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 1st IEEE/ACM International Workshop on Software Engineering for AI in Autonomous Systems, 2018
Proceedings of the 2018 on International Conference on Multimodal Interaction, 2018
What is my Dog Trying to Tell Me? the Automatic Recognition of the Context and Perceived Emotion of Dog Barks.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
A Fusion of Deep Convolutional Generative Adversarial Networks and Sequence to Sequence Autoencoders for Acoustic Scene Classification.
Proceedings of the 26th European Signal Processing Conference, 2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Proceedings of the 2018 International Conference on Digital Health, 2018
Proceedings of the 2018 International Conference on Digital Health, 2018
Evaluation of the Pain Level from Speech: Introducing a Novel Pain Database and Benchmarks.
Proceedings of the 13th ITG Symposium on Speech Communication, 2018
Proceedings of the Handbook of Multimodal-Multisensor Interfaces: Foundations, User Modeling, and Common Modality Combinations, 2018
2017
WIREs Data Mining Knowl. Discov., 2017
A Two-Dimensional Framework of Multiple Kernel Subspace Learning for Recognizing Emotion in Speech.
IEEE ACM Trans. Audio Speech Lang. Process., 2017
IEEE Signal Process. Mag., 2017
auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networks.
J. Mach. Learn. Res., 2017
Strength modelling for real-worldautomatic continuous affect recognition from audiovisual signals.
Image Vis. Comput., 2017
Proceedings of the 7th Annual Workshop on Audio/Visual Emotion Challenge, Mountain View, CA, USA, October 23, 2017
An Image-based Deep Spectrum Feature Representation for the Recognition of Emotional Speech.
Proceedings of the 2017 ACM on Multimedia Conference, 2017
The Perception of Emotion in the Singing Voice: The Understanding of Music Mood for Music Organisation.
Proceedings of the 4th International Workshop on Digital Libraries for Musicology, 2017
Implementing Gender-Dependent Vowel-Level Analysis for Boosting Speech-Based Depression Recognition.
Proceedings of the Interspeech 2017, 2017
Earlier Identification of Children with Autism Spectrum Disorder: An Automatic Vocalisation-Based Approach.
Proceedings of the Interspeech 2017, 2017
Proceedings of the Interspeech 2017, 2017
Emotional Speech of Mentally and Physically Disabled Individuals: Introducing the EmotAsS Database and First Findings.
Proceedings of the Interspeech 2017, 2017
"Did you laugh enough today?" - Deep Neural Networks for Mobile and Wearable Laughter Trackers.
Proceedings of the Interspeech 2017, 2017
Proceedings of the Interspeech 2017, 2017
Automatic Classification of Autistic Child Vocalisations: A Novel Database and Results.
Proceedings of the Interspeech 2017, 2017
Proceedings of the Interspeech 2017, 2017
Stimulation of psychological listener experiences by semi-automatically composed electroacoustic environments.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
"You sound ill, take the day off": Automatic recognition of speech affected by upper respiratory tract infection.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Speech-based Diagnosis of Autism Spectrum Condition by Generative Adversarial Network Representations.
Proceedings of the 2017 International Conference on Digital Health, 2017
Sequence to Sequence Autoencoders for Unsupervised Representation Learning from Audio.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2017
Proceedings of the 12th International Audio Mostly Conference on Augmented and Participatory Sound and Music Experiences, 2017
Enhancing Speech-Based Depression Detection Through Gender Dependent Vowel-Level Formant Features.
Proceedings of the Artificial Intelligence in Medicine, 2017
CAST a database: Rapid targeted large-scale big data acquisition via small-world modelling of social media platforms.
Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction, 2017
Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, 2017
Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, 2017
2016
Proceedings of the Interspeech 2016, 2016
The University of Passau Open Emotion Recognition System for the Multimodal Emotion Challenge.
Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016
2015
Speech Commun., 2015
Speech Commun., 2015
An Investigation of Annotation Delay Compensation and Output-Associative Fusion for Multimodal Continuous Emotion Prediction.
Proceedings of the 5th International Workshop on Audio/Visual Emotion Challenge, 2015
Proceedings of the INTERSPEECH 2015, 2015
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Proceedings of the INTERSPEECH 2014, 2014
Variability compensation in small data: Oversampled extraction of i-vectors for the classification of depressed speech.
Proceedings of the IEEE International Conference on Acoustics, 2014
2013
Proceedings of the 3rd ACM international workshop on Audio/visual emotion challenge, 2013
Proceedings of the INTERSPEECH 2013, 2013
Spectro-temporal analysis of speech affected by depression and psychomotor retardation.
Proceedings of the IEEE International Conference on Acoustics, 2013
2012
Proceedings of the INTERSPEECH 2012, 2012
2011
Proceedings of the INTERSPEECH 2011, 2011