Speechformer-CTC: Sequential modeling of depression detection with speech temporal classification-Reference-Cited by-同舟云学术

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Speechformer-CTC: Sequential modeling of depression detection with speech temporal classification

Published:2024-09 Issue: Volume:163 Page:103106
ISSN:0167-6393
Container-title:Speech Communication
language:en
Short-container-title:Speech Communication

Author:

Wang Jinhan^ORCID,Ravi Vijay,Flint Jonathan,Alwan Abeer

Funder

National Institutes of Health

Publisher

Elsevier BV

Reference72 articles.

1. Effectiveness of voice quality features in detecting depression;Afshan,2018

2. Al Hanai, T., Ghassemi, M.M., Glass, J.R., 2018. Detecting Depression with Audio/Text Sequence Modeling of Interviews.. In: Interspeech. pp. 1716–1720.

3. Openai gym;Brockman,2016

4. Sequence-to-sequence modelling for categorical speech emotion recognition using recurrent neural network;Chen,2018

5. SpeechFormer: A hierarchical efficient framework incorporating the characteristics of speech;Chen,2022

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