Nicholas Cummins
37 papers · 2016–2025 · 2 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (43) 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird
🏠
Conference Loyalist
(36)
🔬
Deep Specialist
(13)
🤝
Dynamic Duo
(13)
🏆
Keyword Champion
(2)
🧭
Keyword Pioneer
👥
Mega-Team · Squad
🌟
Keyword Trendsetter Combo
(3)
🌈
Renaissance Researcher
(7)
🔥
Unstoppable · Silver
❓
The Questioner
(3)
⚡
Prolific Year · Productive
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Conference Pioneer
💎
Century Club · Bronze
📈
Trend Setter
🗃️
Keyword Collector
(168)
Venues
Top co-authors
Research topics
Machine Learning
(25)
Speech & Audio
(17)
Analysis
(17)
Core Methods
(17)
Healthcare & Medicine
(13)
Clinical
(12)
Artificial Intelligence
(11)
Core AI
(10)
Learning Types
(9)
Deep Learning
(8)
Application Areas
(8)
Architectures
(8)
Interdisciplinary
(4)
Computer Vision
(3)
Optimization & Theory
(3)
Keywords
speech analysis
(11)
convolutional neural network
(8)
depression detection
(5)
acoustic feature
(5)
support vector machine
(4)
bidirectional long short-term memory
(3)
mobile health
(3)
speech emotion recognition
(3)
audio classification
(3)
recurrent neural network
(3)
speech feature
(3)
emotion recognition
(3)
mental health
(2)
autism spectrum disorder
(2)
arousal valence
(2)
speech processing
(2)
support vector regression
(2)
speech classification
(2)
attention mechanism
(2)
major depressive disorder
(2)
Papers
Challenges and practical guidelines for atypical speech data collection, annotation, usage and sharing: A multi-project perspective
Interspeech 2025
Meta-Learning Approaches for Speaker-Dependent Voice Fatigue Models
Interspeech 2025
Speech Reference Intervals: An Assessment of Feasibility in Depression Symptom Severity Prediction
Interspeech 2025
Towards the Objective Characterisation of Major Depressive Disorder Using Speech Data from a 12-week Observational Study with Daily Measurements
Interspeech 2025
Revealing Confounding Biases: A Novel Benchmarking Approach for Aggregate-Level Performance Metrics in Health Assessments
Interspeech 2024
Variability of speech timing features across repeated recordings: a comparison of open-source extraction techniques
Interspeech 2024
Bayesian Networks for the robust and unbiased prediction of depression and its symptoms utilizing speech and multimodal data
Interspeech 2023
Classifying depression symptom severity: Assessment of speech representations in personalized and generalized machine learning models.
Interspeech 2023
Towards robust paralinguistic assessment for real-world mobile health (mHealth) monitoring: an initial study of reverberation effects on speech
Interspeech 2023
Automatic Detection of Expressed Emotion from Five-Minute Speech Samples: Challenges and Opportunities
Interspeech 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
Interspeech 2022
Remote Smartphone-Based Speech Collection: Acceptance and Barriers in Individuals with Major Depressive Disorder
Interspeech 2021
A Comparison of Acoustic and Linguistics Methodologies for Alzheimer’s Dementia Recognition
Interspeech 2020
An Evaluation of the Effect of Anxiety on Speech — Computational Prediction of Anxiety from Sustained Vowels
Interspeech 2020
An Investigation of Cross-Cultural Semi-Supervised Learning for Continuous Affect Recognition
Interspeech 2020
Enhancing Transferability of Black-Box Adversarial Attacks via Lifelong Learning for Speech Emotion Recognition Models
Interspeech 2020
Hybrid Network Feature Extraction for Depression Assessment from Speech
Interspeech 2020
Squeeze for Sneeze: Compact Neural Networks for Cold and Flu Recognition
Interspeech 2020
A Hierarchical Attention Network-Based Approach for Depression Detection from Transcribed Clinical Interviews
Interspeech 2019
Attention-Enhanced Connectionist Temporal Classification for Discrete Speech Emotion Recognition
Interspeech 2019
Autonomous Emotion Learning in Speech: A View of Zero-Shot Speech Emotion Recognition
Interspeech 2019
Continuous Emotion Recognition in Speech — Do We Need Recurrence?
Interspeech 2019
Using Speech to Predict Sequentially Measured Cortisol Levels During a Trier Social Stress Test
Interspeech 2019
auDeep: Unsupervised Learning of Representations from Audio with Deep Recurrent Neural Networks
JMLR 2018
How Did You like 2017? Detection of Language Markers of Depression and Narcissism in Personal Narratives
Interspeech 2018
Recognition of Echolalic Autistic Child Vocalisations Utilising Convolutional Recurrent Neural Networks
Interspeech 2018
State of Mind: Classification through Self-reported Affect and Word Use in Speech.
Interspeech 2018
The Perception and Analysis of the Likeability and Human Likeness of Synthesized Speech
Interspeech 2018
An ‘End-to-Evolution’ Hybrid Approach for Snore Sound Classification
Interspeech 2017
Automatic Classification of Autistic Child Vocalisations: A Novel Database and Results
Interspeech 2017
“Did you laugh enough today?” — Deep Neural Networks for Mobile and Wearable Laughter Trackers
Interspeech 2017
Earlier Identification of Children with Autism Spectrum Disorder: An Automatic Vocalisation-Based Approach
Interspeech 2017
Emotional Speech of Mentally and Physically Disabled Individuals: Introducing the EmotAsS Database and First Findings
Interspeech 2017
Implementing Gender-Dependent Vowel-Level Analysis for Boosting Speech-Based Depression Recognition
Interspeech 2017
Snore Sound Classification Using Image-Based Deep Spectrum Features
Interspeech 2017
The Perception of Emotions in Noisified Nonsense Speech
Interspeech 2017
An Investigation of Emotional Speech in Depression Classification
Interspeech 2016