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2020 – today
- 2024
[i3]Daniela A. Wiepert, Rene L. Utianski, Joseph R. Duffy, John L. Stricker, Leland R. Barnard, David T. Jones, Hugo Botha:
Exploring transfer learning for pathological speech feature prediction: Impact of layer selection. CoRR abs/2402.01796 (2024)- 2023
- [c3]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:
Detecting Speech Abnormalities With a Perceiver-Based Sequence Classifier that Leverages a Universal Speech Model. ASRU 2023: 1-7 - [c2]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:
Not All Errors Are Created Equal: Evaluating The Impact of Model and Speaker Factors on ASR Outcomes in Clinical Populations. ASRU 2023: 1-6 - [i2]Leland Barnard, Farwa Ali, Hugo Botha, David T. Jones:
SparCA: Sparse Compressed Agglomeration for Feature Extraction and Dimensionality Reduction. CoRR abs/2302.10776 (2023) - [i1]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:
Detecting Speech Abnormalities with a Perceiver-based Sequence Classifier that Leverages a Universal Speech Model. CoRR abs/2310.13010 (2023) - 2021
- [c1]Neeraj Wagh, Jionghao Wei, Samarth Rawal, Brent M. Berry, Leland Barnard, Benjamin H. Brinkmann, Gregory A. Worrell, David T. Jones, Yogatheesan Varatharajah:
Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability. ML4H@NeurIPS 2021: 130-142
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