Audio based depression detection using Convolutional Autoencoder

作者：

Highlights：

• A novel audio-based depression detection system using Convolutional Autoencoder.

• Convolutional Autoencoder for extracting highly correlated and compact feature set.

• Thorough experimental study based on a real-world depression detection dataset.

• Complete comparison of proposed feature extraction method with other techniques.

摘要

•A novel audio-based depression detection system using Convolutional Autoencoder.•Convolutional Autoencoder for extracting highly correlated and compact feature set.•Thorough experimental study based on a real-world depression detection dataset.•Complete comparison of proposed feature extraction method with other techniques.

论文关键词：Audio depression detection,Semi-supervised learning,Convolutional Autoencoder,Early depression detection

论文评审过程：Received 26 April 2021, Revised 20 September 2021, Accepted 10 October 2021, Available online 20 October 2021, Version of Record 23 October 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116076