Results 81 to 90 of about 417,336 (324)
Speech Emotion Recognition Using Multi-hop Attention Mechanism
, 2019 In this paper, we are interested in exploiting textual and acoustic data of an utterance for the speech emotion classification task. The baseline approach models the information from audio and text independently using two deep neural networks (DNNs). The
Byun, Seokhyun +3 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background B‐acute lymphoblastic leukemia (B‐ALL) is the most common pediatric cancer, and while most children in high‐resource settings are cured, therapy carries risks for long‐term toxicities. Understanding parents’ concerns about these late effects is essential to guide anticipatory support and inform evolving therapeutic approaches ...
Kellee N. Parker +7 more
wiley +1 more source
Polish Speech and Text Emotion Recognition in a Multimodal Emotion Analysis System
Applied SciencesEmotion recognition by social robots is a serious challenge because sometimes people also do not cope with it. It is important to use information about emotions from all possible sources: facial expression, speech, or reactions occurring in the body ...
Kamil Skowroński +2 more
doaj +1 more source
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
doaj +1 more source
Biometrics for Emotion Detection (BED): Exploring the combination of Speech and ECG [PDF]
, 2010 The paradigm Biometrics for Emotion Detection (BED) is introduced, which enables unobtrusive emotion recognition, taking into account varying environments.
Broek, Egon L. van den +3 more
core +1 more source
IEEE Access, 2022 One of the main challenges facing the current approaches of speech emotion recognition is the lack of a dataset large enough to train the currently available deep learning models properly.
A. Abdelhamid +6 more
semanticscholar +1 more source
Molecular Oncology, EarlyView.The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg +43 more
wiley +1 more source
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
doaj +1 more source
Multimodal Speech Emotion Recognition Using Audio and Text
, 2018 Speech emotion recognition is a challenging task, and extensive reliance has been placed on models that use audio features in building well-performing classifiers.
Byun, Seokhyun +2 more
core +1 more source
FEBS Open Bio, EarlyView.What factors make for an effective digital learning tool in Higher Education? This systematic review identifies elements of a digital tool that published examples reveal to be features of an engaging and impactful digital tool. A systematic literature search yielded 25 research papers for analysis.
Akmal Arzeman +4 more
wiley +1 more source