Results 21 to 30 of about 10,858,950 (355)
Acoustic Features of Lithuanian Directives
Baltic Journal of Modern Computingsemanticscholar +2 more sources
Acoustic Features Distinguishing Emotions in Swedish Speech.
Journal of Voice, 2023 Few studies have examined which acoustic features of speech can be used to distinguish between different emotions, and how combinations of acoustic parameters contribute to identification of emotions. The aim of the present study was to investigate which
M. Ekberg +4 more
semanticscholar +1 more source
Frontiers in Psychiatry, 2022 Background At present, there is no established biomarker for the diagnosis of depression. Meanwhile, studies show that acoustic features convey emotional information.
Qing Zhao +9 more
semanticscholar +1 more source
Acoustic Features Extraction for Emotion Recognition [PDF]
6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007 IEEE/ACIS International Conference on Computer and Information Science (6th : 2007 : Melbourne, Australia)
Jia Rong +3 more
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An Efficient Model for a Vast Number of Bird Species Identification Based on Acoustic Features
Animals, 2022 Simple Summary Identifying bird species is very important in bird biodiversity surveys. Bird vocalizations can be utilized to identify bird species. In this paper, we utilized massive amounts of data of bird calls and proposed a novel, efficient model ...
Hanlin Wang +4 more
semanticscholar +1 more source
Feature Maps of the Acoustic Spectrum of the Voice [PDF]
Journal of Voice, 2020 The change in the spectrum of sustained /a/ vowels was mapped over the voice range from low to high fundamental frequency and low to high sound pressure level (SPL), in the form of the so-called voice range profile (VRP). In each interval of one semitone and one decibel, narrowband spectra were averaged both within and across subjects.
Peter Pabon, Sten Ternström
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Acoustic features of voice in adults suffering from depression [PDF]
Psihološka Istraživanja, 2022 In order to examine the differences in people suffering from depression (EG, N=18) compared to the healthy controls (CG1, N=24) and people with the diagnosed psychogenic voice disorder (CG2, N=9), nine acoustic features of voice were assessed among the ...
Calić Gordana +3 more
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IEEE transactions on neural systems and rehabilitation engineering, 2022 Thought, language, and communication disorders are among the salient characteristics of schizophrenia. Such impairments are often exhibited in patients’ conversations.
Huang +6 more
semanticscholar +1 more source
Deep Feature Learning for Medical Acoustics
, 2022 The purpose of this paper is to compare different learnable frontends in medical acoustics tasks. A framework has been implemented to classify human respiratory sounds and heartbeats in two categories, i.e. healthy or affected by pathologies. After obtaining two suitable datasets, we proceeded to classify the sounds using two learnable state-of-art ...
Poire A. M. +2 more
openaire +5 more sources
ETRI Journal, 2022 Although researchers have proposed numerous techniques for speech emotion recognition, its performance remains unsatisfactory in many application scenarios.
Linhui Sun +3 more
semanticscholar +1 more source