Results 251 to 260 of about 3,570,712 (344)

Automated Speech Analysis for Screening and Monitoring Bipolar Depression: Machine Learning Model Development and Interpretation Study.

JMIR Med Inform
Min S, Yeum TS, Shin D, Rhee SJ, Lee H, Lee HS, Park S, Lee J, Ahn YM.   +8 more
europepmc   +1 more source

Speech analytics across the schizophrenia spectrum disorders: multimodal natural language processing and machine learning modelling in a Chinese-speaking population. [PDF]

Front Psychiatry
Liu J, Zhou S, Deng G, Ji M, Zhu X, He X, Kuang Q, She S.   +7 more
europepmc   +1 more source

Voice care and voice disorders among prospective teachers

Dežman, Neža
openalex   +1 more source

A Scoping Review to Map Health Outcomes in Inducible Laryngeal Obstruction. [PDF]

Int J Lang Commun Disord
Ludlow SF, Holmes LJ, Simpson L, Byrne-Davis L, Fowler SJ.   +4 more
europepmc   +1 more source

Effects of STN-DBS treatment on voice characteristics in patients with Parkinson's Disease. [PDF]

Neurol Sci
Hu X, Wang Y, Wang Q, Wu J, Li H, Cheng Y, Liu P, Yu Y, Liang S, Wu J.   +9 more
europepmc   +1 more source

Auditory-Perceptual Validation of Acoustic Chaos Parameters in Healthy and Dysphonic Voices. [PDF]

J Speech Lang Hear Res
Wischhoff OP, Gouraram V, Chumbley TJ, Liu B, Jiang JJ.   +4 more
europepmc   +1 more source

Self-other voice confusion in patients with auditory-verbal hallucinations and nonclinical hallucination proneness

Vukojević J, Jelić L, McCormack K, Sušac J, Muselimović I, Bagarić M, Brečić P, Dellwo V, Cifrek M, Savić A, Orepić P.   +10 more
europepmc   +1 more source

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Voice Disorder

Definitions, 2020
openaire   +2 more sources

Automated Detection of Voice Disorder in the Saarbrücken Voice Database: Effects of Pathology Subset and Audio Materials

Interspeech, 2021
The Saarbrücken Voice Database contains speech and simultaneous electroglottography recordings of 1002 speakers exhibiting a wide range of voice disorders, together with recordings of 851 controls.
M. Huckvale, Catinca Buciuleac
semanticscholar   +1 more source

A Deep Learning Approach for Voice Disorder Detection for Smart Connected Living Environments

ACM Trans. Internet Techn., 2021
Edge Analytics and Artificial Intelligence are important features of the current smart connected living community. In a society where people, homes, cities, and workplaces are simultaneously connected through various devices, primarily through mobile ...
Laura Verde, N. Brancati, G. De Pietro, Maria Frucci, Giovanna Sannino   +4 more
semanticscholar   +1 more source