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Detecting Postpartum Depression in Depressed People by Speech Features.

, , , , , , , and . HCC, volume 10745 of Lecture Notes in Computer Science, page 433-442. Springer, (2017)

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A Step Towards Preserving Speakers' Identity While Detecting Depression Via Speaker Disentanglement., , , and . INTERSPEECH, page 3338-3342. ISCA, (2022)Identifying comorbidities from depressed people via voice analysis., , , and . BIBM, page 986-991. IEEE Computer Society, (2017)Power failure: why small sample size undermines the reliability of neuroscience., , , , , , and . Nature reviews. Neuroscience, 14 (5): 365-76 (May 2013)Significació estadística; Estudi petit; Bias; Errors.Detecting Postpartum Depression in Depressed People by Speech Features., , , , , , , and . HCC, volume 10745 of Lecture Notes in Computer Science, page 433-442. Springer, (2017)Effectiveness of Voice Quality Features in Detecting Depression., , , , , and . INTERSPEECH, page 1676-1680. ISCA, (2018)Enhancing accuracy and privacy in speech-based depression detection through speaker disentanglement., , , and . Comput. Speech Lang., (2024)The nature and identification of quantitative trait loci: a communit y's view, , , , , , , , , and 70 other author(s). Nat Rev Genet, 4 (11): 911-916 (November 2003)A Privacy-preserving Unsupervised Speaker Disentanglement Method for Depression Detection from Speech (short paper)., , , and . ML4CMH@AAAI, volume 3649 of CEUR Workshop Proceedings, page 57-63. CEUR-WS.org, (2024)Fraug: A Frame Rate Based Data Augmentation Method for Depression Detection from Speech Signals., , , and . ICASSP, page 6267-6271. IEEE, (2022)Detection of Symptoms of Depression Using Data From the iPhone and Apple Watch., , , , , , , and . BIBM, page 1818-1823. IEEE, (2023)