Speech emotion recognition research: an analysis of research focus
This article analyses research in speech emotion recognition (“SER”) from 2006 to 2017 in
order to identify the current focus of research, and areas in which research is lacking. The …
order to identify the current focus of research, and areas in which research is lacking. The …
Loss-scaled large-margin Gaussian mixture models for speech emotion classification
S Yun, CD Yoo - IEEE Transactions on Audio, Speech, and …, 2011 - ieeexplore.ieee.org
This paper considers a learning framework for speech emotion classification using a
discriminant function based on Gaussian mixture models (GMMs). The GMM parameter set …
discriminant function based on Gaussian mixture models (GMMs). The GMM parameter set …
[PDF][PDF] A novel naive bayes classification algorithm based on particle swarm optimization
J Li, L Ding, B Li - The Open Automation and Control Systems …, 2014 - benthamopen.com
Naive Bayes (NB) classifier is a simple and efficient classifier, but the independent
assumption of its attribute limits the application of the actual data. This paper presents an …
assumption of its attribute limits the application of the actual data. This paper presents an …
IoT based song recognition for FM radio station broadcasting
The paper aims to propose song recognition on an IoT device that continuously monitors FM
Radio stations connected to cloud processing and storage. Radio stations and music …
Radio stations connected to cloud processing and storage. Radio stations and music …
[PDF][PDF] Audio fingerprint based on power spectral density and hamming distance measure
Song recognition is the process of identifying a song segment either from a digital or an
analogue audio source. This has led to the necessity to identify songs within a database that …
analogue audio source. This has led to the necessity to identify songs within a database that …
Clustering approach to characterize haptic expressions of emotions
Several studies have investigated the relevance of haptics to physically convey various
types of emotion. However, they use basic analysis approaches to identify the relevant …
types of emotion. However, they use basic analysis approaches to identify the relevant …
A novel naive Bayes classifier model based on differential evolution
J Li, G Fang, B Li, C Wang - … , ICIC 2015, Fuzhou, China, August 20-23 …, 2015 - Springer
Naive Bayes (NB) classifier is a simple and efficient classifier, but the independent
assumption of its attribute limits the application of the actual data. This paper presents an …
assumption of its attribute limits the application of the actual data. This paper presents an …
Communication kinesthésique des émotions dans un contexte d'interaction homme-machine
Y Gaffary - 2015 - theses.hal.science
La communication des émotions s' effectue naturellement par le biais de différentes
modalités, comme par exemple les expressions faciales et le toucher. L'informatique …
modalités, comme par exemple les expressions faciales et le toucher. L'informatique …
Affective Speech Recognition
SP Fewzee Youssefi - 2015 - uwspace.uwaterloo.ca
Speech, as a medium of interaction, carries two different streams of information. Whereas
one stream carries explicit messages, the other one contains implicit information about …
one stream carries explicit messages, the other one contains implicit information about …
Research on charging load prediction technology of electric vehicles based on multilayer perceptron
T Xu, H Wang, G Wu, X Hu… - … Conference on Testing …, 2022 - spiedigitallibrary.org
In recent years, the electric vehicle market has been expanding rapidly. By the end of 2021,
the number of new energy vehicles in the country will reach 7.84 million, accounting for …
the number of new energy vehicles in the country will reach 7.84 million, accounting for …