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Optimizing Speech-Input Length for Speaker-Independent Depression Classification

3 January 2025
Tomasz Rutowski
Amir Harati
Yang Lu
Elizabeth Shriberg
ArXivPDFHTML

Papers citing "Optimizing Speech-Input Length for Speaker-Independent Depression Classification"

4 / 4 papers shown
Title
Toward Corpus Size Requirements for Training and Evaluating Depression Risk Models Using Spoken Language
Tomek Rutowski
Amir Harati
Elizabeth Shriberg
Yang Lu
Piotr Chlebek
Ricardo Oliveira
36
7
0
03 Jan 2025
Mask Factory: Towards High-quality Synthetic Data Generation for
  Dichotomous Image Segmentation
Mask Factory: Towards High-quality Synthetic Data Generation for Dichotomous Image Segmentation
Haotian Qian
YD Chen
Shengtao Lou
F. Khan
Xiaogang Jin
Deng-Ping Fan
DiffM
39
4
0
26 Dec 2024
Speech-Based Depression Prediction Using Encoder-Weight-Only Transfer
  Learning and a Large Corpus
Speech-Based Depression Prediction Using Encoder-Weight-Only Transfer Learning and a Large Corpus
Amir Harati
Elizabeth Shriberg
Tomasz Rutowski
Piotr Chlebek
Yang Lu
Ricardo Oliveira
95
21
0
22 Dec 2024
Significance of Speaker Embeddings and Temporal Context for Depression
  Detection
Significance of Speaker Embeddings and Temporal Context for Depression Detection
Sri Harsha Dumpala
Sebastian Rodriguez
S. Rempel
Rudolf Uher
Sageev Oore
12
4
0
24 Jul 2021
1