← Authors

Daniel Blackburn

12 papers · 2016–2022 · 1 conference · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (14) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🗺️ Taxonomy Completionist (20) 🏃 Academic Marathon (6) 🌈 Renaissance Researcher (6) 🤝 Dynamic Duo (12) 🔥 Unstoppable (7) 💎 Century Club (12) 🗃️ Keyword Collector (58) 🚀 Conference Pioneer

Conferences

INTERSPEECH (12)

Top co-authors

Heidi Christensen (12) Bahman Mirheidari (10) Markus Reuber (7) Yilin Pan (6) Annalena Venneri (6) Traci Walker (5) Ronan O’Malley (3) Jennifer C. Thompson (1) Samuel Hollands (1) Aki Härmä (1)

Keywords

automatic speech recognition (4) acoustic feature extraction (3) deep neural network (2) alzheimer disease (2) conversation analysis (2) speech analysis (2) feature extraction (2) speech processing (1) data augmentation (1) logistic regression (1) clinical speech analysis (1) cognitive decline (1) clinical diagnosis (1) attention mechanism (1) variational autoencoder (1) convolutional neural network (1) generative model (1) speech transcription (1) feature augmentation (1) feature selection (1)

Papers

Evaluating the Performance of State-of-the-Art ASR Systems on Non-Native English using Corpora with Extensive Language Background Variation INTERSPEECH 2022
Automatic cognitive assessment: Combining sparse datasets with disparate cognitive scores INTERSPEECH 2022
Identifying Cognitive Impairment Using Sentence Representation Vectors INTERSPEECH 2021
Using the Outputs of Different Automatic Speech Recognition Paradigms for Acoustic- and BERT-Based Alzheimer’s Dementia Detection Through Spontaneous Speech INTERSPEECH 2021
Acoustic Feature Extraction with Interpretable Deep Neural Network for Neurodegenerative Related Disorder Classification INTERSPEECH 2020
A Comparison of Acoustic and Linguistics Methodologies for Alzheimer’s Dementia Recognition INTERSPEECH 2020
Improving Cognitive Impairment Classification by Generative Neural Network-Based Feature Augmentation INTERSPEECH 2020
Improving Detection of Alzheimer’s Disease Using Automatic Speech Recognition to Identify High-Quality Segments for More Robust Feature Extraction INTERSPEECH 2020
Automatic Hierarchical Attention Neural Network for Detecting AD INTERSPEECH 2019
Detecting Signs of Dementia Using Word Vector Representations INTERSPEECH 2018
An Avatar-Based System for Identifying Individuals Likely to Develop Dementia INTERSPEECH 2017
Diagnosing People with Dementia Using Automatic Conversation Analysis INTERSPEECH 2016