Learning from Limited Data for Speech-based Traumatic Brain Injury (TBI) Detection-Reference-Cited by-同舟云学术

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Learning from Limited Data for Speech-based Traumatic Brain Injury (TBI) Detection

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)
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Author:

Ditthapron Apiwat,Agu Emmanuel O.,Lammert Adam C.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9679834/9679948/09680030.pdf?arnumber=9680030

Reference25 articles.

1. Meta-Learning for Robust Child-Adult Classification from Speech

2. wav2vec: Unsupervised Pre-Training for Speech Recognition

3. Speaker Recognition from Raw Waveform with SincNet

4. Audio set: An ontology and human-labeled dataset for audio events;gemmeke;IEEE ICASSP,2017

5. Librispeech: an asr corpus based on public domain audio books;panayotov;IEEE ICASSP,2015

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2. Image Encoded Time Series Classification of Small Datasets: An Innovative Architecture Using Deep Learning Ensembles;2024-01-17

3. Toward assessment of human voice biomarkers of brain lesions through explainable deep learning;Biomedical Signal Processing and Control;2024-01

4. An Enhanced Classification Framework for Limited IoHT Time Series Data Using Ensemble Deep Learning and Image Encoding;2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24

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