Representation transfer learning from deep end-to-end speech recognition networks for the classification of health states from speech

Title
Representation transfer learning from deep end-to-end speech recognition networks for the classification of health states from speech
Authors
Keywords
Transfer learning, Representation learning, Automatic speech recognition, Compact bilinear pooling, Computational paralinguistics, Recurrent neural networks
Journal
COMPUTER SPEECH AND LANGUAGE
Volume 68, Issue -, Pages 101204
Publisher
Elsevier BV
Online
2021-02-17
DOI
10.1016/j.csl.2021.101204

Ask authors/readers for more resources

Reprint

Contact the author

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started