Leland Barnard

According to our database, Leland Barnard authored at least 5 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Exploring transfer learning for pathological speech feature prediction: Impact of layer selection.

Daniela A. Wiepert, Rene L. Utianski, Joseph R. Duffy, John L. Stricker, Leland R. Barnard, David T. Jones, Hugo Botha

CoRR, 2024

2023

SparCA: Sparse Compressed Agglomeration for Feature Extraction and Dimensionality Reduction.

Leland Barnard, Farwa Ali, Hugo Botha, David T. Jones

CoRR, 2023

Not All Errors Are Created Equal: Evaluating The Impact of Model and Speaker Factors on ASR Outcomes in Clinical Populations.

Daniela A. Wiepert, Rene L. Utianski, Joseph R. Duffy, John L. Stricker, Leland Barnard, Keith A. Josephs, Jennifer L. Whitwell, David T. Jones, Hugo Botha

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

Detecting Speech Abnormalities With a Perceiver-Based Sequence Classifier that Leverages a Universal Speech Model.

Hagen Soltau, Izhak Shafran, Alex Ottenwess, Joseph R. Duffy, Rene L. Utianski, Leland R. Barnard, John L. Stricker, Daniela A. Wiepert, David T. Jones, Hugo Botha

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2021

Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability.

Neeraj Wagh, Jionghao Wei, Samarth Rawal, Brent M. Berry, Leland Barnard, Benjamin H. Brinkmann, Gregory A. Worrell, David T. Jones, Yogatheesan Varatharajah

Proceedings of the Machine Learning for Health, 2021