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Speech emotion recognition using deep learning techniques: A review
Emotion recognition from speech signals is an important but challenging component of
Human-Computer Interaction (HCI). In the literature of speech emotion recognition (SER) …
Human-Computer Interaction (HCI). In the literature of speech emotion recognition (SER) …
A review of affective computing: From unimodal analysis to multimodal fusion
Affective computing is an emerging interdisciplinary research field bringing together
researchers and practitioners from various fields, ranging from artificial intelligence, natural …
researchers and practitioners from various fields, ranging from artificial intelligence, natural …
Emotalk: Speech-driven emotional disentanglement for 3d face animation
Speech-driven 3D face animation aims to generate realistic facial expressions that match
the speech content and emotion. However, existing methods often neglect emotional facial …
the speech content and emotion. However, existing methods often neglect emotional facial …
Driver distraction detection methods: A literature review and framework
Driver inattention and distraction are the main causes of road accidents, many of which
result in fatalities. To reduce road accidents, the development of information systems to …
result in fatalities. To reduce road accidents, the development of information systems to …
Human‐computer interaction for recognizing speech emotions using multilayer perceptron classifier
Human‐computer interaction (HCI) has seen a paradigm shift from textual or display‐based
control toward more intuitive control modalities such as voice, gesture, and mimicry …
control toward more intuitive control modalities such as voice, gesture, and mimicry …
Multimodal sentimental analysis for social media applications: A comprehensive review
The analysis of sentiments is essential in identifying and classifying opinions regarding a
source material that is, a product or service. The analysis of these sentiments finds a variety …
source material that is, a product or service. The analysis of these sentiments finds a variety …
Human‐computer interaction with detection of speaker emotions using convolution neural networks
AA Alnuaim, M Zakariah, A Alhadlaq… - Computational …, 2022 - Wiley Online Library
Emotions play an essential role in human relationships, and many real‐time applications
rely on interpreting the speaker's emotion from their words. Speech emotion recognition …
rely on interpreting the speaker's emotion from their words. Speech emotion recognition …
Can you hear me now? Engendering passion and preparedness perceptions with vocal expressions in crowdfunding pitches
The voice is often the only continuous channel of expression in pitch videos. We isolate the
influence of entrepreneurs' vocal expressions on funding by examining how valence …
influence of entrepreneurs' vocal expressions on funding by examining how valence …
Participant rewards in a spectating system
CP Dury, DH Verfaillie, HP Leung, P Gilmore… - US Patent …, 2019 - Google Patents
2015-12-04 Assigned to AMAZON TECHNOLOGIES, INC. reassignment AMAZON
TECHNOLOGIES, INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR …
TECHNOLOGIES, INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR …
Speech emotion recognition approaches in human computer interaction
Abstract Speech Emotion Recognition (SER) represents one of the emerging fields in
human-computer interaction. Quality of the human-computer interface that mimics human …
human-computer interaction. Quality of the human-computer interface that mimics human …