Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers
Speech is the most natural way of expressing ourselves as humans. It is only natural then to
extend this communication medium to computer applications. We define speech emotion …
extend this communication medium to computer applications. We define speech emotion …
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 survey of sentiment analysis in social media
Sentiments or opinions from social media provide the most up-to-date and inclusive
information, due to the proliferation of social media and the low barrier for posting the …
information, due to the proliferation of social media and the low barrier for posting the …
A systematic literature review of speech emotion recognition approaches
YB Singh, S Goel - Neurocomputing, 2022 - Elsevier
Nowadays emotion recognition from speech (SER) is a demanding research area for
researchers because of its wide real-life applications. There are many challenges for SER …
researchers because of its wide real-life applications. There are many challenges for SER …
End-to-end speech emotion recognition using deep neural networks
P Tzirakis, J Zhang, BW Schuller - 2018 IEEE international …, 2018 - ieeexplore.ieee.org
Affect recognition is an important component towards the better interaction between human
and machines. Applications of emotion recognition in speech can be found in several areas …
and machines. Applications of emotion recognition in speech can be found in several areas …
Exploring automatic COVID-19 diagnosis via voice and symptoms from crowdsourced data
The development of fast and accurate screening tools, which could facilitate testing and
prevent more costly clinical tests, is key to the current pandemic of COVID-19. In this context …
prevent more costly clinical tests, is key to the current pandemic of COVID-19. In this context …
An early study on intelligent analysis of speech under COVID-19: Severity, sleep quality, fatigue, and anxiety
The COVID-19 outbreak was announced as a global pandemic by the World Health
Organisation in March 2020 and has affected a growing number of people in the past few …
Organisation in March 2020 and has affected a growing number of people in the past few …
[HTML][HTML] Speech emotion recognition using machine learning—A systematic review
Speech emotion recognition (SER) as a Machine Learning (ML) problem continues to
garner a significant amount of research interest, especially in the affective computing …
garner a significant amount of research interest, especially in the affective computing …
Estimating autism severity in young children from speech signals using a deep neural network
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that involves difficulties
in social communication. Previous research has demonstrated that these difficulties are …
in social communication. Previous research has demonstrated that these difficulties are …
Enhanced speech emotion detection using deep neural networks
S Lalitha, S Tripathi, D Gupta - International Journal of Speech …, 2019 - Springer
This paper focusses on investigation of the effective performance of perceptual based
speech features on emotion detection. Mel frequency cepstral coefficients (MFCC's) …
speech features on emotion detection. Mel frequency cepstral coefficients (MFCC's) …