Julie Liss
11 papers · 2016–2025 · 1 venue · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (23) 𧬠Topic Evolution
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Dynamic Duo
(11)
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Conference Pioneer
ποΈ
Keyword Collector
(59)
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Century Club Β· Bronze
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The Questioner
(2)
Venues
Top co-authors
Research topics
Keywords
speech analysis
(3)
deep neural network
(2)
dysarthria detection
(2)
forced alignment
(2)
multi-task learning
(2)
clinical speech analysis
(2)
speech foundation model
(2)
dysarthric speech
(2)
gradient projection
(2)
foundation model
(1)
recurrent neural network
(1)
acoustic model
(1)
deep learning
(1)
speech recognition
(1)
multivariate analysis
(1)
speaker recognition
(1)
automatic speech recognition
(1)
sample size
(1)
mild cognitive impairment
(1)
interpretable model
(1)
Papers
Mitigating Overfitting During Speech Foundation Model Fine-tuning: Applications to Dysarthric Speech Detection
Interspeech 2025
How Does Alignment Error Affect Automated Pronunciation Scoring in Children's Speech?
Interspeech 2024
Improving Speech-Based Dysarthria Detection using Multi-task Learning with Gradient Projection
Interspeech 2024
Segmental and Suprasegmental Speech Foundation Models for Classifying Cognitive Risk Factors: Evaluating Out-of-the-Box Performance
Interspeech 2024
Are reported accuracies in the clinical speech machine learning literature overoptimistic?
Interspeech 2022
Investigating the Impact of Speech Compression on the Acoustics of Dysarthric Speech
Interspeech 2022
The Impact of Forced-Alignment Errors on Automatic Pronunciation Evaluation
Interspeech 2021
Investigating the Role of L1 in Automatic Pronunciation Evaluation of L2 Speech
Interspeech 2018
Float Like a Butterfly Sting Like a Bee: Changes in Speech Preceded Parkinsonism Diagnosis for Muhammad Ali
Interspeech 2017
Interpretable Objective Assessment of Dysarthric Speech Based on Deep Neural Networks
Interspeech 2017
Accent Identification by Combining Deep Neural Networks and Recurrent Neural Networks Trained on Long and Short Term Features
Interspeech 2016