Heidi Christensen
21 papers · 2016–2025 · 3 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (3) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (10) 🏃 Academic Marathon (9)
🐝
Cross-Pollinator
(14)
🌈
Renaissance Researcher
(7)
🌉
Interdisciplinary Bridge
🤝
Dynamic Duo
(12)
⚡
Prolific Year
(6)
🚀
Conference Pioneer
🗃️
Keyword Collector
(100)
🔥
Unstoppable
(7)
💎
Century Club
(21)
Conferences
INTERSPEECH (19)
EMNLP (1)
NAACL (1)
Top co-authors
Keywords
automatic speech recognition
(7)
speech analysis
(3)
feature extraction
(3)
acoustic feature extraction
(3)
word error rate
(2)
acoustic feature
(2)
dysarthric speech recognition
(2)
conversation analysis
(2)
alzheimer disease
(2)
emotion recognition
(2)
deep neural network
(2)
dysarthric speech
(2)
clinical speech analysis
(1)
clinical diagnosis
(1)
feature selection
(1)
speech transcription
(1)
logistic regression
(1)
domain generalization
(1)
speech processing
(1)
continuous speech
(1)
Papers
Fairness in Automatic Speech Recognition Isn’t a One-Size-Fits-All
EMNLP 2025
Dysarthric Speech Recognition From Raw Waveform with Parametric CNNs
INTERSPEECH 2022
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
Automatic Detection of Expressed Emotion from Five-Minute Speech Samples: Challenges and Opportunities
INTERSPEECH 2022
Parental Spoken Scaffolding and Narrative Skills in Crowd-Sourced Storytelling Samples of Young Children
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
Towards Automatic Speech Recognition for People with Atypical Speech
INTERSPEECH 2021
Identifying Cognitive Impairment Using Sentence Representation Vectors
INTERSPEECH 2021
Recognising Emotions in Dysarthric Speech Using Typical Speech Data
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
Autoencoder Bottleneck Features with Multi-Task Optimisation for Improved Continuous Dysarthric Speech Recognition
INTERSPEECH 2020
Acoustic Feature Extraction with Interpretable Deep Neural Network for Neurodegenerative Related Disorder Classification
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
Proceedings of the Eighth Workshop on Speech and Language Processing for Assistive Technologies
NAACL 2019
Detecting Signs of Dementia Using Word Vector Representations
INTERSPEECH 2018
An Avatar-Based System for Identifying Individuals Likely to Develop Dementia
INTERSPEECH 2017
CloudCAST — Remote Speech Technology for Speech Professionals
INTERSPEECH 2016
Diagnosing People with Dementia Using Automatic Conversation Analysis
INTERSPEECH 2016