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A knowledge-driven vowel-based approach of depression classification
  from speech using data augmentation

A knowledge-driven vowel-based approach of depression classification from speech using data augmentation

27 October 2022
Kexin Feng
Theodora Chaspari
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Papers citing "A knowledge-driven vowel-based approach of depression classification from speech using data augmentation"

4 / 4 papers shown
Title
Developing Explainable Machine Learning Model using Augmented Concept
  Activation Vector
Developing Explainable Machine Learning Model using Augmented Concept Activation Vector
Reza Hassanpour
Kasim Oztoprak
Niels Netten
Tony Busker
Mortaza S. Bargh
Sunil Choenni
Beyza Kizildag
Leyla Sena Kilinc
31
78
0
26 Dec 2024
Robust and Explainable Depression Identification from Speech Using
  Vowel-Based Ensemble Learning Approaches
Robust and Explainable Depression Identification from Speech Using Vowel-Based Ensemble Learning Approaches
Kexin Feng
Theodora Chaspari
24
0
0
23 Oct 2024
A Pilot Study on Clinician-AI Collaboration in Diagnosing Depression
  from Speech
A Pilot Study on Clinician-AI Collaboration in Diagnosing Depression from Speech
Kexin Feng
Theodora Chaspari
18
0
0
23 Oct 2024
Attention-Based Acoustic Feature Fusion Network for Depression Detection
Attention-Based Acoustic Feature Fusion Network for Depression Detection
Xiao Xu
Yang Wang
Xinru Wei
Fei Wang
Xizhe Zhang
14
5
0
24 Aug 2023
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