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Optimizing Speech-Input Length for Speaker-Independent Depression Classification

Tomasz Rutowski
Amir Harati
Yang Lu
Elizabeth Shriberg
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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
80
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
Fahad Shahbaz Khan
Xiaogang Jin
Deng-Ping Fan
DiffM
60
6
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
113
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
51
4
0
24 Jul 2021