Towards Interpreting Deep Learning Models to Understand Loss of Speech Intelligibility in Speech Disorders Step 2: Contribution of the Emergence of Phonetic Traits-Reference-Cited by-同舟云学术

Towards Interpreting Deep Learning Models to Understand Loss of Speech Intelligibility in Speech Disorders Step 2: Contribution of the Emergence of Phonetic Traits

Published:2022-05-23 Issue: Volume: Page:
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Container-title:ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Abderrazek Sondes¹,Fredouille Corinne¹,Ghio Alain²,Lalain Muriel²,Meunier Christine²,Woisard Virginie³

Affiliation:

1. LIA, Avignon University,France

2. Aix-Marseille Univ, LPL, CNRS,Aix-en-Provence,France

3. UT2J, Octogone-Lordat, Toulouse University & Toulouse Hospital,France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746198.pdf?arnumber=9746198

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4. Inferring Phonemic Classes from CNN Activation Maps Using Clustering Techniques

5. Viualizing data using t-sne;van der maaten;Journal of Machine Learning Research,2008

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