Breaking Age Barriers With Automatic Voice-Based Depression Detection
暂无分享,去创建一个
[1] Elke A. Rundensteiner,et al. Screening for Suicidal Ideation with Text Messages , 2021, 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI).
[2] E. Fruchter,et al. Sleep Monitoring Using WatchPAT Device to Predict Recurrence of Major Depression in Patients at High Risk for Major Depression Disorder Recurrence: A Case Report , 2021, Frontiers in Psychiatry.
[3] Julien Epps,et al. Automatic Elicitation Compliance for Short-Duration Speech Based Depression Detection , 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[4] Zhigeng Pan,et al. A Convenient and Low-Cost Model of Depression Screening and Early Warning Based on Voice Data Using for Public Mental Health , 2021, International journal of environmental research and public health.
[5] Johannes Zimmermann,et al. Screening accuracy of a 14-day smartphone ambulatory assessment of depression symptoms and mood dynamics in a general population sample: Comparison with the PHQ-9 depression screening , 2021, PloS one.
[6] World Population Prospects, The 2019 Revision - Volume I: Comprehensive Tables , 2019 .
[7] C. Finck,et al. The Effect of the Speech Task Characteristics on Perceptual Judgment of Mild to Moderate Dysphonia: A Methodological Study , 2018, Folia Phoniatrica et Logopaedica.
[8] Stefan Scherer,et al. A Cross-modal Review of Indicators for Depression Detection Systems , 2017, CLPsych@ACL.
[9] Björn W. Schuller,et al. Enhancing Speech-Based Depression Detection Through Gender Dependent Vowel-Level Formant Features , 2017, AIME.
[10] Nicholas B. Allen,et al. Statistical differences in speech acoustics of major depressed and non-depressed adolescents , 2015, 2015 9th International Conference on Signal Processing and Communication Systems (ICSPCS).
[11] A. Young,et al. High heterogeneity and low reliability in the diagnosis of major depression will impair the development of new drugs , 2015, BJPsych Open.
[12] Louis-Philippe Morency,et al. Reduced vowel space is a robust indicator of psychological distress: A cross-corpus analysis , 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[13] J. van der Linde,et al. Vocal effectiveness of speech-language pathology students: Before and after voice use during service delivery , 2015, The South African journal of communication disorders = Die Suid-Afrikaanse tydskrif vir Kommunikasieafwykings.
[14] John Kane,et al. COVAREP — A collaborative voice analysis repository for speech technologies , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[15] Tomi Kinnunen,et al. A practical, self-adaptive voice activity detector for speaker verification with noisy telephone and microphone data , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[16] Nicholas B. Allen,et al. Detection of Clinical Depression in Adolescents’ Speech During Family Interactions , 2011, IEEE Transactions on Biomedical Engineering.
[17] Emi Juliana Yamauchi,et al. Perceptual evaluation of pathological voice quality: A comparative analysis between the RASATI and GRBASI scales , 2009, Logopedics, phoniatrics, vocology.
[18] Irene Velsvik Bele. Reliability in perceptual analysis of voice quality. , 2005, Journal of voice : official journal of the Voice Foundation.
[19] J. Pennebaker,et al. Language use of depressed and depression-vulnerable college students , 2004 .
[20] G. Goodwin,et al. Cognitive deficits in depression: Possible implications for functional neuropathology , 2001, British Journal of Psychiatry.
[21] I. Hickie,et al. Increased rate of psychosis and psychomotor change in depression with age , 1997, Psychological Medicine.
[22] M. Hamilton. A RATING SCALE FOR DEPRESSION , 1960, Journal of neurology, neurosurgery, and psychiatry.
[23] Harriet J. Fell,et al. SpeechMark: Landmark Detection Tool for Speech Analysis , 2012, INTERSPEECH.
[24] Dimitra Vergyri,et al. Using Prosodic and Spectral Features in Detecting Depression in Elderly Males , 2011, INTERSPEECH.
[25] C. Bryant,et al. Depression in older age: A scoping study , 2009 .
[26] J. Coyne,et al. Persistently poor outcomes of undetected major depression in primary care. , 1998, General hospital psychiatry.
[27] P. Mueller,et al. Effects of Aging on Speech and Voice , 1995 .
[28] Y Kakudo,et al. [Oral physiology]. , 1984, Shikai tenbo = Dental outlook.
[29] P. Mueller,et al. Needs and services in geriatric speech-language pathology and audiology. , 1981, ASHA.