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Glottal Source Features for Automatic Speech-Based Depression Assessment
2017
Interspeech 2017
unpublished
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Our findings indicate that Phase Distortion Deviation is a promising audio-only feature for automated detection and assessment of depressed speech. ...
The current study explores categorical assessment of depression using audio features alone. ...
Maria Koutsogiannaki for their valuable support. Anastasia Pampouchidou was funded by the "Maria Zaousi" scholarship from the Greek State Scholarships Foundation (I.K.Y). ...
doi:10.21437/interspeech.2017-1251
fatcat:rhqk4o2ap5e3rheizlf4akfuqa
Introduction to the Issue on Automatic Assessment of Health Disorders Based on Voice, Speech, and Language Processing
2020
IEEE Journal on Selected Topics in Signal Processing
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Huang et al., in"Natural Language Processing Methods for Acoustic and Landmark Event-based Features in Speech-based Depression Detection," propose a framework for analyzing speech as a sequence of acoustic ...
Glottal source features are extracted using glottal flows estimated with the quasi-closed phase (QCP) glottal inverse filtering method, using approximate glottal source signals computed with the zero frequency ...
His recent research interests include automatic assessment of voice disorder, speech disorder and language impairment, analysis of child and elderly speech, and speech under pressure. ...
doi:10.1109/jstsp.2020.2978566
fatcat:32x76k4fnfhpbcpixz365muapm
Learning Voice Source Related Information for Depression Detection
2019
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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voice source related information for depression detection. ...
In this paper, by exploiting the abilities of CNNs to learn task-relevant information from the input raw signals, we investigate several methods to model voice source related information for depression ...
Following these studies, various voice source related features such as jitter, shimmer and glottal flow characterisation have been proposed as speech-based biomarkers for depression detection [18, 19] ...
doi:10.1109/icassp.2019.8683498
dblp:conf/icassp/DubaguntaVM19
fatcat:c574s66e5jejlc2szzwmjzm2pm
Glottal source processing: From analysis to applications
2014
Computer Speech and Language
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This paper gives a comprehensive overview of techniques for glottal source processing. ...
Nonetheless, the major source of excitation, namely the glottal flow, is expected to convey useful complementary information. ...
Features describing the glottal behaviour are therefore of great interest for the automatic audio-based detection of voice pathologies. ...
doi:10.1016/j.csl.2014.05.003
fatcat:ekopemusjvc5poddvzn3npsmym
Glottal source processing: From analysis to applications
2014
Computer Speech and Language
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This paper gives a comprehensive overview of techniques for glottal source processing. ...
Nonetheless, the major source of excitation, namely the glottal flow, is expected to convey useful complementary information. ...
Features describing the glottal behaviour are therefore of great interest for the automatic audio-based detection of voice pathologies. ...
doi:10.1016/j.csl.2014.03.003
fatcat:a5yqvs364nep5eb3nws27yteoa
A review of depression and suicide risk assessment using speech analysis
2015
Speech Communication
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This paper is the first review into the automatic analysis of speech for use as an objective predictor of depression and suicidality. ...
This review starts by building the case for speech to be considered a key objective marker for both conditions; reviewing current diagnostic and assessment methods for depression and suicidality including ...
Presence of depression A wide range of features have been trialled for automatic depressed speech classification. ...
doi:10.1016/j.specom.2015.03.004
fatcat:mjnho326mjbvbdengcp4lhs5xi
Audiovisual behavior descriptors for depression assessment
2013
Proceedings of the 15th ACM on International conference on multimodal interaction - ICMI '13
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Based on a standard self-assessment depression scale we investigate the statistical discriminative strength of the audiovisual features on a depression/no-depression basis. ...
We further correlate the behavior descriptors with the assessed depression severity and find considerable correlation. ...
The analysis involved glottal flow features as well as prosodic features for the discrimination of depressed read speech of 15 male and 18 female speakers. ...
doi:10.1145/2522848.2522886
dblp:conf/icmi/SchererSM13
fatcat:vqfgypjovzbofmxnnwhjzaqfqi
Assessment of disordered voices based on an optimized glottal source model
2017
Turkish Journal of Electrical Engineering and Computer Sciences
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In this paper, a method for the assessment of disordered voices is proposed. ...
A feature named mean opening quotient (MOQ) obtained from the glottal source estimation is used as an acoustic cue to summarize the degree of severity of the voice disorder. ...
The proposed method was tested on a corpus of natural speech including vowel [a] uttered by 251 speakers (normophonic and dysphonic). ...
doi:10.3906/elk-1608-324
fatcat:oxgkn3fc5rewzibakiyetfxcze
Dyadic Behavior Analysis in Depression Severity Assessment Interviews
2014
Proceedings of the 16th International Conference on Multimodal Interaction - ICMI '14
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Acoustic features for participants varied between men and women as expected, and failed to vary with depression severity for participants. ...
Participants were interviewed for depression severity on up to four occasions over a 21 week period using the Hamilton Rating Scale for Depression (HRSD), which is a criterion measure for depression severity ...
Normalized Amplitude Quotient (NAQ) The normalized amplitude quotient (NAQ) feature is derived from the glottal source signal estimated by iterative adaptive inverse filtering (IAIF, [3] ). ...
doi:10.1145/2663204.2663238
pmid:28345076
pmcid:PMC5365085
dblp:conf/icmi/SchererHYMC14
fatcat:i2clhtgvvvcqfbdgj5q6fwwmcy
Investigating the speech characteristics of suicidal adolescents
2013
2013 IEEE International Conference on Acoustics, Speech and Signal Processing
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The work shows promising results in a speakerindependent classification experiment based on only a dozen speech features. ...
Based on this limited dataset, we reveal statistically significant differences in the speech patterns of suicidal adolescents within the investigated interview corpus. ...
The study in [4] involved the analysis of glottal flow features as well as prosodic features for the discrimination of depressed read speech of 15 male (nine controls and six depressed subjects, ages ...
doi:10.1109/icassp.2013.6637740
dblp:conf/icassp/SchererPM13
fatcat:jsjfxu5cynd5rfs524md3zjsba
Glottal Source Processing: from Analysis to Applications
[article]
2019
arXiv
pre-print
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This review gives a general overview of techniques which have been designed for glottal source processing. ...
Unfortunately, glottal analysis from speech recordings requires specific and more complex processing operations, which explains why it has been generally avoided. ...
Features describing the glottal behaviour are therefore of great interest for the automatic audio-based detection of voice pathologies. ...
arXiv:1912.12604v1
fatcat:vcamvpic2najba2j6ksmvu33ny
Detection of Clinical Depression in Adolescents' Speech During Family Interactions
2011
IEEE Transactions on Biomedical Engineering
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The TEO-based features clearly outperformed all other features and feature combinations, providing classification accuracy ranging between 81%-87% for males and 72%-79% for females. ...
The properties of acoustic speech have previously been investigated as possible cues for depression in adults. ...
Loizou, and the reviewers for their valuable feedback and suggestions. ...
doi:10.1109/tbme.2010.2091640
pmid:21075715
pmcid:PMC3652557
fatcat:7c5hxc5wtnfazmlpv7doal5uee
A Cross-modal Review of Indicators for Depression Detection Systems
2017
Proceedings of the Fourth Workshop on Computational Linguistics and Clinical Psychology –- From Linguistic Signal to Clinical Reality
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Automatic detection of depression has attracted increasing attention from researchers in psychology, computer science, linguistics, and related disciplines. ...
As a result, promising depression detection systems have been reported. ...
In addition, Morales and Levitan investigated using an automatic speech recognition system (ASR) to automatically transcribe speech and found that text-based features generated from ASR transcripts were ...
doi:10.18653/v1/w17-3101
dblp:conf/acl-clpsych/MoralesSL17
fatcat:ern3d56epraobnmryo5f2br3e4
Effectiveness of Voice Quality Features in Detecting Depression
2018
Interspeech 2018
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Automatic assessment of depression from speech signals is affected by variabilities in acoustic content and speakers. In this study, we focused on addressing these variabilities. ...
In order to capture various aspects of speech signals, we used voice quality features in addition to conventional cepstral features. ...
Voice Quality Features (VQual) Based on extensive studies on the patterns of variability across speakers in source spectral shapes and glottal pulse shapes [34] , a spectral model to represent the voice ...
doi:10.21437/interspeech.2018-1399
dblp:conf/interspeech/AfshanGPRFA18
fatcat:vbvqwgdf3fh75f7naluojux4c4
Objective Methods for Reliable Detection of Concealed Depression
2015
Frontiers in ICT
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For more information, please contact eprints@nottingham.ac.uk ICT ORIGINAL RESEARCH ARTICLE Recent research has shown that it is possible to automatically detect clinical depression from audio-visual recordings ...
2015) Objective methods for reliable detection of concealed depression. Frontiers in ICT, 2 . 5/1-5/16. ...
Part of RM's work is funded by the National Institute of Healthcare Research Collaboration for Leadership in Applied Health Research and Care (NIHR CLAHRC) East Midlands. ...
doi:10.3389/fict.2015.00005
fatcat:6bfyzvvfuvhh7m3b5vbcweqi6m
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