Results 41 to 50 of about 246,421 (281)
Learning spectro-temporal features with 3D CNNs for speech emotion recognition [PDF]
, 2017 In this paper, we propose to use deep 3-dimensional convolutional networks (3D CNNs) in order to address the challenge of modelling spectro-temporal dynamics for speech emotion recognition (SER).
Englebienne, Gwenn +3 more
core +2 more sources
PLoS ONE, 2019 Emotion recognition plays an important role in human-computer interaction. Previously and currently, many studies focused on speech emotion recognition using several classifiers and feature extraction methods.
Panikos Heracleous, Akio Yoneyama
doaj +1 more source
End-to-End Speech Emotion Recognition With Gender Information
IEEE Access, 2020 Many works have focused on speech emotion recognition algorithms. However, most rely on the proper selection of speech acoustic features. In this paper, we propose a novel emotion recognition algorithm that does not rely on any speech acoustic features ...
Ting-Wei Sun
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Speech Emotion Recognition Based on Memory Capsules and Attention [PDF]
Jisuanji gongchengIn current speech emotion recognition systems, the insufficient extraction of emotional features and inadequate modeling ability of models for complex emotional expressions have resulted in decreased recognition accuracy. This paper proposes a method for
DONG Hongliang, NIU Yan, SUN Yang, LI Jun
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Design of the Speech Emotion Recognition Model
Engineering Proceedings, 2023 Existing emotional feature methods only represent the limited information on the emotional state and lack the mining and utilization of the correlation between emotional features.
Hanping Ke, Feng Luo, Manyin Shi
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IJARCCESpeech emotion recognition is a vital area of research with applications starting from human-computer interaction to mental health monitoring. This paper will provide a comprehensive survey of the techniques, methods, applications, and challenges in speech emotion recognition.
Yasharth Sonar +3 more
+4 more sources
Prevalence and Trajectory of Household Material Hardship Among Children With Advanced Cancer
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background/Objectives Families of children with advanced cancer living in poverty experience inferior outcomes including poor parent mental health and worse child quality of life. Household material hardship (HMH: food, housing, transportation, and/or utility insecurity) is a modifiable poverty exposure—and potential intervention target—that ...
Sarah Wright +13 more
wiley +1 more source
Spoken affect classification : algorithms and experimental implementation : a thesis presented in partial fulfilment of the requirements for the degree of Master of Science in Computer Science at Massey University, Palmerston North, New Zealand [PDF]
, 2005 Machine-based emotional intelligence is a requirement for natural interaction between humans and computer interfaces and a basic level of accurate emotion perception is needed for computer systems to respond adequately to human emotion.
Morrison, Donn Alexander
core
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
Feature extraction based on bio-inspired model for robust emotion recognition [PDF]
, 2016 Emotional state identification is an important issue to achieve more natural speech interactive systems. Ideally, these systems should also be able to work in real environments in which generally exist some kind of noise.
A Batliner +33 more
core +1 more source