EEG Frequency-Amplitude Characteristics of the Successful Recognition of Emotional Speech

2010 ◽  
Vol 40 (6) ◽  
pp. 639-644
Author(s):  
O. O. Kislova ◽  
M. N. Rusalova
Keyword(s):  
Emotional Speech ◽  
Amplitude Characteristics

Acoustic and Perceptual Features of the Emotional Speech of Adolescents Aged 14–16 Years

2020 ◽  
Vol 106 (3) ◽  
pp. 329-341
Author(s):  
A. S. Grigorev ◽  
V. A. Gorodnyi ◽  
O. V. Frolova ◽  
A. M. Kondratenko ◽  
V. D. Dolgaya ◽  
...  
Keyword(s):  
Emotional Speech ◽  
Perceptual Features

An Investigation of Emotional Speech in Depression Classification

2016 ◽  
Author(s):  
Brian Stasak ◽  
Julien Epps ◽  
Nicholas Cummins ◽  
Roland Goecke
Keyword(s):  
Emotional Speech

Studies on Paralinguistic Sounds, Emotional Speech and Expressive Voices

2020 ◽  
Author(s):  
Devi Bhavani Kadali ◽  
Vinay Kumar Mittal
Keyword(s):  
Emotional Speech

Towards Feature-space Emotional Speech Adaptation for TDNN based Telugu ASR systems

2019 ◽  
Author(s):  
Vishnu Vidyadhara Raju V ◽  
Krishna Gurugubelli ◽  
Mirishkar Sai Ganesh ◽  
Anil Kumar Vuppala
Keyword(s):  
Feature Space ◽  
Emotional Speech

Nonparallel Emotional Speech Conversion Using VAE-GAN

2020 ◽  
Author(s):  
Yuexin Cao ◽  
Zhengchen Liu ◽  
Minchuan Chen ◽  
Jun Ma ◽  
Shaojun Wang ◽  
...  
Keyword(s):  
Emotional Speech

Relations between prominence and articulatory-prosodic cues in emotional speech

2016 ◽  
Author(s):  
Jangwon Kim ◽  
Anil Ramakrishna ◽  
Sungbok Lee ◽  
Shrikanth Narayanan
Keyword(s):  
Emotional Speech ◽  
Prosodic Cues

scholarly journals A novel fault section locating method based on distance matching degree in distribution network

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Zhenxing Li ◽  
Jialing Wan ◽  
Pengfei Wang ◽  
Hanli Weng ◽  
Zhenhua Li
Keyword(s):  
Single Phase ◽  
Distribution Network ◽  
Matlab Simulink ◽  
Grounding Resistance ◽  
Blind Zone ◽  
System Transition ◽  
Transition Resistance ◽  
Zero Sequence ◽  
Matching Degree ◽  
Amplitude Characteristics

AbstractFault section location of a single-phase grounding fault is affected by the neutral grounding mode of the system, transition resistance, and the blind zone. A fault section locating method based on an amplitude feature and an intelligent distance algorithm is proposed to eliminate the influence of the above factors. By analyzing and comparing the amplitude characteristics of the zero-sequence current transient components at both ends of the healthy section and the faulty section, a distance algorithm with strong abnormal data immune capability is introduced in this paper. The matching degree of the amplitude characteristics at both ends of the feeder section are used as the criterion and by comparing with the set threshold, the faulty section is effectively determined. Finally, simulations using Matlab/Simulink and PSCAD/EMTDC show that the proposed section locating method can locate the faulty section accurately, and is not affected by grounding mode, grounding resistance, or the blind zone.

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