Author:
Jenei Attila Zoltan,Kiss Gabor
Cited by
6 articles.
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1. Diagnostic accuracy of deep learning using speech samples in depression: a systematic review and meta-analysis;Journal of the American Medical Informatics Association;2024-07-16
2. Spatial–Temporal Feature Network for Speech-Based Depression Recognition;IEEE Transactions on Cognitive and Developmental Systems;2024-02
3. Sound Mind: Detecting Depression and Anxiety in Humans;Inventive Computation and Information Technologies;2023
4. Study on Facial Recognition to Detect Mood and Suggest Songs;2022 International Interdisciplinary Humanitarian Conference for Sustainability (IIHC);2022-11-18
5. Automatic Assessment of the Degree of Clinical Depression from Speech Using X-Vectors;ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2022-05-23