Results 91 to 100 of about 417,336 (324)
Graph Learning Based Speaker Independent Speech Emotion Recognition
Advances in Electrical and Computer Engineering, 2014 In this paper, the algorithm based on graph learning and graph embedding framework, Speaker-Penalty Graph Learning (SPGL), is proposed in the research of speech emotion recognition to solve the problems caused by different speakers.
XU, X. +4 more
doaj +1 more source
A Cognitive Science Reasoning in Recognition of Emotions in Audio-Visual Speech [PDF]
, 2008 In this report we summarize the state-of-the-art of speech emotion recognition from the signal processing point of view. On the bases of multi-corporal experiments with machine-learning classifiers, the observation is made that existing approaches for ...
Sahli, Hichem +2 more
core
, 2012 In this paper, a psychologically-inspired binary cascade classification schema is proposed for speech emotion recognition. Performance is enhanced because commonly confused pairs of emotions are distinguishable from one another.
A. Austermann +65 more
core +1 more source
Age‐Related Characteristics of SYT1‐Associated Neurodevelopmental Disorder
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives We describe the clinical manifestations and developmental abilities of individuals with SYT1‐associated neurodevelopmental disorder (Baker‐Gordon syndrome) from infancy to adulthood. We further describe the neuroradiological and electrophysiological characteristics of the condition at different ages, and explore the associations ...
Sam G. Norwitz +3 more
wiley +1 more source
A Novel Nonparametric Kernel for Speech Emotion Recognition [PDF]
Iranian Journal of Electrical and Electronic Engineering, 2023 The Nonparametric Speech Kernel (NSK), a nonparametric kernel technique, is presented in this study as a novel way to improve Speech Emotion Recognition (SER).
Mohammad Hasheminejad
doaj
Automatic speech based emotion recognition using paralinguistics features [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2019 Affective computing studies and develops systems capable of detecting humans affects. The search for universal well-performing features for speech-based emotion recognition is ongoing.
J. Hook +3 more
doaj +1 more source
Sensors, 2021 Convolutional neural networks (CNNs) are a state-of-the-art technique for speech emotion recognition. However, CNNs have mostly been applied to noise-free emotional speech data, and limited evidence is available for their applicability in emotional ...
Youngja Nam, Chankyu Lee
doaj +1 more source
Lessons Learned From a Delayed‐Start Trial of Modafinil for Freezing of Gait in Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Freezing of gait (FOG) in people with Parkinson's disease (PwPD) is debilitating and has limited treatments. Modafinil modulates beta/gamma band activity in the pedunculopontine nucleus (PPN), like PPN deep brain stimulation. We therefore tested the hypothesis that Modafinil would improve FOG in PwPD.
Tuhin Virmani +8 more
wiley +1 more source
Variably Protease‐Sensitive Prionopathy: Two New Cases With Motor Neuron‐Dementia Syndrome
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT We describe two patients with variably protease‐sensitive prionopathy (VPSPr) who developed progressive upper motor neuron symptoms, insomnia, behavioral and cognitive decline, compatible with primary lateral sclerosis associated with frontotemporal dementia (FTD).
María Elena Erro +10 more
wiley +1 more source
High-Order Markov Random Fields and Their Applications in Cross-Language Speech Recognition
Cybernetics and Information Technologies, 2015 In this paper we study the cross-language speech emotion recognition using high-order Markov random fields, especially the application in Vietnamese speech emotion recognition.
Zhipeng Jiang, Chengwei Huang
doaj +1 more source