124 related articles for article (PubMed ID: 38664511)
1. Improving speech depression detection using transfer learning with wav2vec 2.0 in low-resource environments.
Zhang X; Zhang X; Chen W; Li C; Yu C
Sci Rep; 2024 Apr; 14(1):9543. PubMed ID: 38664511
[TBL] [Abstract][Full Text] [Related]
2. End-to-end multimodal clinical depression recognition using deep neural networks: A comparative analysis.
Muzammel M; Salam H; Othmani A
Comput Methods Programs Biomed; 2021 Nov; 211():106433. PubMed ID: 34614452
[TBL] [Abstract][Full Text] [Related]
3. Prevalence and risk factors analysis of postpartum depression at early stage using hybrid deep learning model.
Lilhore UK; Dalal S; Varshney N; Sharma YK; Rao KBVB; Rao VVRM; Alroobaea R; Simaiya S; Margala M; Chakrabarti P
Sci Rep; 2024 Feb; 14(1):4533. PubMed ID: 38402249
[TBL] [Abstract][Full Text] [Related]
4. Attention guided learnable time-domain filterbanks for speech depression detection.
Yang W; Liu J; Cao P; Zhu R; Wang Y; Liu JK; Wang F; Zhang X
Neural Netw; 2023 Aug; 165():135-149. PubMed ID: 37285730
[TBL] [Abstract][Full Text] [Related]
5. Multi-Head Attention-Based Long Short-Term Memory for Depression Detection From Speech.
Zhao Y; Liang Z; Du J; Zhang L; Liu C; Zhao L
Front Neurorobot; 2021; 15():684037. PubMed ID: 34512301
[TBL] [Abstract][Full Text] [Related]
6. Depression recognition using voice-based pre-training model.
Huang X; Wang F; Gao Y; Liao Y; Zhang W; Zhang L; Xu Z
Sci Rep; 2024 Jun; 14(1):12734. PubMed ID: 38830969
[TBL] [Abstract][Full Text] [Related]
7. Arabic Speech Analysis for Classification and Prediction of Mental Illness due to Depression Using Deep Learning.
Saba T; Khan AR; Abunadi I; Bahaj SA; Ali H; Alruwaythi M
Comput Intell Neurosci; 2022; 2022():8622022. PubMed ID: 35669665
[TBL] [Abstract][Full Text] [Related]
8. [A research on depression recognition based on voice pre-training model].
Huang X; Liao Y; Zhang W; Zhang L
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2024 Feb; 41(1):9-16. PubMed ID: 38403599
[TBL] [Abstract][Full Text] [Related]
9. Automated depression analysis using convolutional neural networks from speech.
He L; Cao C
J Biomed Inform; 2018 Jul; 83():103-111. PubMed ID: 29852317
[TBL] [Abstract][Full Text] [Related]
10. Enhancing multimodal depression diagnosis through representation learning and knowledge transfer.
Yang S; Cui L; Wang L; Wang T; You J
Heliyon; 2024 Feb; 10(4):e25959. PubMed ID: 38380046
[TBL] [Abstract][Full Text] [Related]
11. Privacy-preserving Speech-based Depression Diagnosis via Federated Learning.
Cui Y; Li Z; Liu L; Zhang J; Liu J
Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():1371-1374. PubMed ID: 36085955
[TBL] [Abstract][Full Text] [Related]
12. A Model of Normality Inspired Deep Learning Framework for Depression Relapse Prediction Using Audiovisual Data.
Othmani A; Zeghina AO; Muzammel M
Comput Methods Programs Biomed; 2022 Nov; 226():107132. PubMed ID: 36183638
[TBL] [Abstract][Full Text] [Related]
13. Automatic depression severity assessment with deep learning using parameter-efficient tuning.
Lau C; Zhu X; Chan WY
Front Psychiatry; 2023; 14():1160291. PubMed ID: 37398577
[TBL] [Abstract][Full Text] [Related]
14. A Privacy-Preserving Unsupervised Speaker Disentanglement Method for Depression Detection from Speech.
Ravi V; Wang J; Flint J; Alwan A
CEUR Workshop Proc; 2024 Feb; 3649():57-63. PubMed ID: 38650610
[TBL] [Abstract][Full Text] [Related]
15. Depression Detection Based on Hybrid Deep Learning SSCL Framework Using Self-Attention Mechanism: An Application to Social Networking Data.
Nadeem A; Naveed M; Islam Satti M; Afzal H; Ahmad T; Kim KI
Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36560144
[TBL] [Abstract][Full Text] [Related]
16. Depression recognition using a proposed speech chain model fusing speech production and perception features.
Du M; Liu S; Wang T; Zhang W; Ke Y; Chen L; Ming D
J Affect Disord; 2023 Feb; 323():299-308. PubMed ID: 36462607
[TBL] [Abstract][Full Text] [Related]
17. Neuronetwork Approach in the Early Diagnosis of Depression.
Astafeva D; Gayduk A; Tavormina G; Syunyakov T; Chigareva O; Bikbaeva K; Markina E; Vlasov A; Yashikhina A; Zhovnerchuk E; Kolsanov A; Smirnova D
Psychiatr Danub; 2023 Oct; 35(Suppl 2):77-85. PubMed ID: 37800207
[TBL] [Abstract][Full Text] [Related]
18. Human-Computer Interaction with a Real-Time Speech Emotion Recognition with Ensembling Techniques 1D Convolution Neural Network and Attention.
Alsabhan W
Sensors (Basel); 2023 Jan; 23(3):. PubMed ID: 36772427
[TBL] [Abstract][Full Text] [Related]
19. Automatic Depression Detection Using Smartphone-Based Text-Dependent Speech Signals: Deep Convolutional Neural Network Approach.
Kim AY; Jang EH; Lee SH; Choi KY; Park JG; Shin HC
J Med Internet Res; 2023 Jan; 25():e34474. PubMed ID: 36696160
[TBL] [Abstract][Full Text] [Related]
20. Speech depression recognition based on attentional residual network.
Lu X; Shi D; Liu Y; Yuan J
Front Biosci (Landmark Ed); 2021 Dec; 26(12):1746-1759. PubMed ID: 34994187
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]