← Authors

Nicholas Cummins

33 papers · 2016–2024 · 2 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (14) 🌍 Conference Polyglot (2) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (8) 🏠 Conference Loyalist (32) 🌟 Keyword Trendsetter Combo (3) 🀝 Dynamic Duo (13) πŸ† Keyword Champion (4) πŸ‘₯ Mega-Team (25) πŸ”¬ Deep Specialist (13) πŸ”₯ Unstoppable (9) ⚑ Prolific Year (8) πŸš€ Conference Pioneer ❓ The Questioner (3) πŸ—ƒοΈ Keyword Collector (151) πŸ’Ž Century Club (33) πŸ“ˆ Trend Setter

Conferences

INTERSPEECH (32) JMLR (1)

Top co-authors

BjΓΆrn Schuller (13) Bjorn W. Schuller (12) Alice Baird (7) Shahin Amiriparian (6) Michael Freitag (4) Faith Matcham (4) Judith Dineley (4) Ziping Zhao (3) Simone Hantke (3) Sergey Pugachevskiy (3)

Keywords

speech analysis (11) convolutional neural network (8) acoustic feature (5) support vector machine (4) depression detection (4) speech emotion recognition (3) bidirectional long short-term memory (3) recurrent neural network (3) emotion recognition (3) mobile health (3) audio classification (3) arousal valence (2) mental health (2) attention mechanism (2) log-mel spectrogram (2) autism spectrum disorder (2) speech processing (2) support vector regression (2) speech classification (2) deep spectrum feature (2)

Papers

Variability of speech timing features across repeated recordings: a comparison of open-source extraction techniques INTERSPEECH 2024
Revealing Confounding Biases: A Novel Benchmarking Approach for Aggregate-Level Performance Metrics in Health Assessments INTERSPEECH 2024
Bayesian Networks for the robust and unbiased prediction of depression and its symptoms utilizing speech and multimodal data INTERSPEECH 2023
Towards robust paralinguistic assessment for real-world mobile health (mHealth) monitoring: an initial study of reverberation effects on speech INTERSPEECH 2023
Classifying depression symptom severity: Assessment of speech representations in personalized and generalized machine learning models. INTERSPEECH 2023
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
Automatic Detection of Expressed Emotion from Five-Minute Speech Samples: Challenges and Opportunities INTERSPEECH 2022
Remote Smartphone-Based Speech Collection: Acceptance and Barriers in Individuals with Major Depressive Disorder INTERSPEECH 2021
Enhancing Transferability of Black-Box Adversarial Attacks via Lifelong Learning for Speech Emotion Recognition Models INTERSPEECH 2020
A Comparison of Acoustic and Linguistics Methodologies for Alzheimer’s Dementia Recognition INTERSPEECH 2020
Squeeze for Sneeze: Compact Neural Networks for Cold and Flu Recognition INTERSPEECH 2020
An Evaluation of the Effect of Anxiety on Speech β€” Computational Prediction of Anxiety from Sustained Vowels INTERSPEECH 2020
Hybrid Network Feature Extraction for Depression Assessment from Speech INTERSPEECH 2020
An Investigation of Cross-Cultural Semi-Supervised Learning for Continuous Affect Recognition INTERSPEECH 2020
A Hierarchical Attention Network-Based Approach for Depression Detection from Transcribed Clinical Interviews INTERSPEECH 2019
Using Speech to Predict Sequentially Measured Cortisol Levels During a Trier Social Stress Test INTERSPEECH 2019
Autonomous Emotion Learning in Speech: A View of Zero-Shot Speech Emotion Recognition INTERSPEECH 2019
Continuous Emotion Recognition in Speech β€” Do We Need Recurrence? INTERSPEECH 2019
Attention-Enhanced Connectionist Temporal Classification for Discrete Speech Emotion Recognition INTERSPEECH 2019
auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networks JMLR 2018
State of Mind: Classification through Self-reported Affect and Word Use in Speech. INTERSPEECH 2018
Recognition of Echolalic Autistic Child Vocalisations Utilising Convolutional Recurrent Neural Networks INTERSPEECH 2018
The Perception and Analysis of the Likeability and Human Likeness of Synthesized Speech INTERSPEECH 2018
How Did You like 2017? Detection of Language Markers of Depression and Narcissism in Personal Narratives INTERSPEECH 2018
Snore Sound Classification Using Image-Based Deep Spectrum Features INTERSPEECH 2017
An β€˜End-to-Evolution’ Hybrid Approach for Snore Sound Classification INTERSPEECH 2017
Implementing Gender-Dependent Vowel-Level Analysis for Boosting Speech-Based Depression Recognition INTERSPEECH 2017
The Perception of Emotions in Noisified Nonsense Speech INTERSPEECH 2017
Emotional Speech of Mentally and Physically Disabled Individuals: Introducing the EmotAsS Database and First Findings INTERSPEECH 2017
β€œDid you laugh enough today?” β€” Deep Neural Networks for Mobile and Wearable Laughter Trackers INTERSPEECH 2017
Automatic Classification of Autistic Child Vocalisations: A Novel Database and Results INTERSPEECH 2017
Earlier Identification of Children with Autism Spectrum Disorder: An Automatic Vocalisation-Based Approach INTERSPEECH 2017
An Investigation of Emotional Speech in Depression Classification INTERSPEECH 2016