Julie M. Liss

Orcid: 0000-0001-8782-2901

Affiliations:
  • Arizona State University


According to our database1, Julie M. Liss authored at least 45 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Responsible development of clinical speech AI: Bridging the gap between clinical research and technology.
npj Digit. Medicine, 2024

A Tutorial on Clinical Speech AI Development: From Data Collection to Model Validation.
CoRR, 2024

Achieving Reproducibility in EEG-Based Machine Learning.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2023
Robust Vocal Quality Feature Embeddings for Dysphonic Voice Detection.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Consonant-Vowel Transition Models Based on Deep Learning for Objective Evaluation of Articulation.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Decorrelating Language Model Embeddings for Speech-Based Prediction of Cognitive Impairment.
Proceedings of the IEEE International Conference on Acoustics, 2023

Requirements For Mass Adoption Of Assistive Listening Technology By The General Public.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
TorchDIVA: An Extensible Computational Model of Speech Production built on an Open-Source Machine Learning Library.
CoRR, 2022

Investigating the Impact of Speech Compression on the Acoustics of Dysarthric Speech.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Are reported accuracies in the clinical speech machine learning literature overoptimistic?
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021
A Deep Learning Algorithm for Objective Assessment of Hypernasality in Children With Cleft Palate.
IEEE Trans. Biomed. Eng., 2021

Digital medicine and the curse of dimensionality.
npj Digit. Medicine, 2021

The Impact of Forced-Alignment Errors on Automatic Pronunciation Evaluation.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

An Attention Model for Hypernasality Prediction in Children with Cleft Palate.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Robust Estimation of Hypernasality in Dysarthria With Acoustic Model Likelihood Features.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

Early detection and tracking of bulbar changes in ALS via frequent and remote speech analysis.
npj Digit. Medicine, 2020

Author Correction: Early detection and tracking of bulbar changes in ALS via frequent and remote speech analysis.
npj Digit. Medicine, 2020

A Review of Automated Speech and Language Features for Assessment of Cognitive and Thought Disorders.
IEEE J. Sel. Top. Signal Process., 2020

Deep Learning Based Prediction of Hypernasality for Clinical Applications.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Robust Estimation of Hypernasality in Dysarthria.
CoRR, 2019

A Review of Language and Speech Features for Cognitive-Linguistic Assessment.
CoRR, 2019

Objective Assessment of Social Skills Using Automated Language Analysis for Identification of Schizophrenia and Bipolar Disorder.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Investigating the Effects of Word Substitution Errors on Sentence Embeddings.
Proceedings of the IEEE International Conference on Acoustics, 2019

Objective Measures of Plosive Nasalization in Hypernasal Speech.
Proceedings of the IEEE International Conference on Acoustics, 2019

Objective Assessment of Vocal Tremor.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Investigating the Role of L1 in Automatic Pronunciation Evaluation of L2 Speech.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Simulating Dysarthric Speech for Training Data Augmentation in Clinical Speech Applications.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Articulation Entropy: An Unsupervised Measure of Articulatory Precision.
IEEE Signal Process. Lett., 2017

Interpretable Objective Assessment of Dysarthric Speech Based on Deep Neural Networks.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Float Like a Butterfly Sting Like a Bee: Changes in Speech Preceded Parkinsonism Diagnosis for Muhammad Ali.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Objective assessment of pathological speech using distribution regression.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Interpretable phonological features for clinical applications.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Accent Identification by Combining Deep Neural Networks and Recurrent Neural Networks Trained on Long and Short Term Features.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Online speaking rate estimation using recurrent neural networks.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Noise robust dysarthric speech classification using domain adaptation.
Proceedings of the Digital Media Industry & Academic Forum, 2016

Models for objective evaluation of dysarthric speech from data annotated by multiple listeners.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
Convex Weighting Criteria for Speaking Rate Estimation.
IEEE ACM Trans. Audio Speech Lang. Process., 2015

Removing data with noisy responses in regression analysis.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Hilbert spectral analysis of vowels using intrinsic mode functions.
Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015

Estimating speaking rate in spontaneous discourse.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014
Domain invariant speech features using a new divergence measure.
Proceedings of the 2014 IEEE Spoken Language Technology Workshop, 2014

Modeling pathological speech perception from data with similarity labels.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Bandwidth Extension of Speech Using Perceptual Criteria
Synthesis Lectures on Algorithms and Software in Engineering, Morgan & Claypool Publishers, ISBN: 978-3-031-01521-2, 2013

Towards a clinical tool for automatic intelligibility assessment.
Proceedings of the IEEE International Conference on Acoustics, 2013

Selecting disorder-specific features for speech pathology fingerprinting.
Proceedings of the IEEE International Conference on Acoustics, 2013


  Loading...