Results 61 to 70 of about 15,656 (256)
Make Patient Consultation Warmer: A Clinical Application for Speech Emotion Recognition
Applied Sciences, 2021 In recent years, many types of research have continued to improve the environment of human speech and emotion recognition. As facial emotion recognition has gradually matured through speech recognition, the result of this study provided more accurate ...
Huan-Chung Li +3 more
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Speech Emotion Recognition with deep learning
Procedia Computer Science, 2020 Abstract This paper proposes an emotion recognition system based on speech signals in two-stage approach, namely feature extraction and classification engine. Firstly, two sets of feature are investigated which are: the first one, we extract an 42-dimensional vector of audio features including 39 coefficients of Mel Frequency Cepstral Coefficients ...
Hadhami Aouani, Yassine Ben Ayed
openaire +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Although significant progress has been made in childhood leukemia survival, healthcare providers, and caregivers often face challenges in explaining this disease to patients. Disease‐targeted storybooks have been proposed as a tool to facilitate the understanding of diagnoses and treatment.
Nutvipha Ummartyotin +6 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Animal‐assisted activities (AAAs) with therapy dogs have shown positive effects on patient well‐being and quality of life in various areas of medicine, including pediatric oncology. However, research on this topic is limited. The aim of this study is to present the current status of AAA in pediatric oncology in Germany, Austria, and
Jan‐Marius Wedig +7 more
wiley +1 more source
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
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COVID-19 masks: A barrier to facial and vocal information
Frontiers in Neuroscience, 2022 With the COVID-19 pandemic, we have become used to wearing masks and have experienced how masks seem to impair emotion and speech recognition. While several studies have focused on facial emotion recognition by adding images of masks on photographs of ...
Nadia Aguillon-Hernandez +3 more
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Determining Parental Factors for Clinical Trial Attrition in Pediatric Acute Lymphoblastic Leukemia
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background/Objectives Despite high enrollment rates on Children's Oncology Group (COG) protocols, attrition after initial consent is challenging, introducing bias and prolonging trial completion. While adult oncology literature has identified predictors of withdrawal, little is known about caregiver decision‐making for child participation in ...
Kimberly L. Stathas +3 more
wiley +1 more source
Pathways and pitfalls: a qualitative study of student experiences in biomedical science education
FEBS Open Bio, EarlyView.Biomedical science students from underrepresented backgrounds face barriers including financial strain, disrupted laboratory access and cultural exclusion. Peer networks provide vital support when institutional systems are difficult to navigate. To create inclusive learning environments and achieve academic success, educators should blend active, hands‐
Olivia J. Russell +8 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
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