Related references
Note: Only part of the references are listed.Multi-Modal Emotion Recognition From Speech and Facial Expression Based on Deep Learning
Linqin Cai et al.
2020 CHINESE AUTOMATION CONGRESS (CAC 2020) (2020)
Finding Emotion from Multi-Lingual Voice Data
Nazia Hossain et al.
2020 IEEE 44TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE (COMPSAC 2020) (2020)
Deep features-based speech emotion recognition for smart affective services
Abdul Malik Badshah et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2019)
Application of Emotion Recognition and Modification for Emotional Telugu Speech Recognition
Vishnu Vidyadhara Raju Vegesna et al.
MOBILE NETWORKS & APPLICATIONS (2019)
Emotional Speech Recognition Based on the Committee of Classifiers
Dorota Kaminska
ENTROPY (2019)
Using general linear model, Bayesian Networks and Naive Bayes classifier for prediction of Karenia selliformis occurrences and blooms
Wafa Feki-Sahnoun et al.
ECOLOGICAL INFORMATICS (2018)
Fuzzy definition of Rural Urban Interface: An application based on land use change scenarios in Portugal
Federico Amato et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2018)
Convolutional neural networks: an overview and application in radiology
Rikiya Yamashita et al.
INSIGHTS INTO IMAGING (2018)
Graph Matching Using Hierarchical Fuzzy Graph Neural Networks
Dalibor Krleza et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2017)
Polish Emotional Speech Recognition Based on the Committee of Classifiers
Dorota KAMIŃSKA
Przeglad Elektrotechniczny (2017)
Efficiency of chosen speech descriptors in relation to emotion recognition
Dorota Kaminska et al.
EURASIP JOURNAL ON AUDIO SPEECH AND MUSIC PROCESSING (2017)
Recognizing Emotions From Whispered Speech Based on Acoustic Feature Transfer Learning
Jun Deng et al.
IEEE ACCESS (2017)
SPECTRAL METHODS IN POLISH EMOTIONAL SPEECH RECOGNITION
Pawel Powroznik et al.
ADVANCES IN SCIENCE AND TECHNOLOGY-RESEARCH JOURNAL (2016)
GMDH-type neural network approach for modeling the discharge coefficient of rectangular sharp-crested side weirs
Isa Ebtehaj et al.
ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH (2015)
Wavelet transform based steganography technique to hide audio signals in image
S. Hemalatha et al.
GRAPH ALGORITHMS, HIGH PERFORMANCE IMPLEMENTATIONS AND ITS APPLICATIONS (ICGHIA 2014) (2015)
A reliable iris recognition algorithm based on reverse biorthogonal wavelet transform
R. Szewczyk et al.
PATTERN RECOGNITION LETTERS (2012)
The social signal value of emotions
Shlomo Hareli et al.
COGNITION & EMOTION (2012)
Emotion recognition from speech: a review
Shashidhar G. Koolagudi et al.
INTERNATIONAL JOURNAL OF SPEECH TECHNOLOGY (2012)
Recognition of Human Emotion from a Speech Signal Based on Plutchik's Model
Dorota Kaminska et al.
INTERNATIONAL JOURNAL OF ELECTRONICS AND TELECOMMUNICATIONS (2012)
Utility of multilayer perceptron neural network classifiers in the diagnosis of the obstructive sleep apnoea syndrome from nocturnal oximetry
J. Victor Marcos et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2008)
Improving nearest neighbor rule with a simple adaptive distance measure
Jigang Wang et al.
PATTERN RECOGNITION LETTERS (2007)
A GMDH neural network-based approach to robust fault diagnosis: Application to the DAMADICS benchmark problem
M Witczak et al.
CONTROL ENGINEERING PRACTICE (2006)
Emotional speech recognition: Resources, features, and methods
Dimitrios Ververidis et al.
SPEECH COMMUNICATION (2006)
The shift-invariant discrete wavelet transform and application to speech waveform analysis
J Enders et al.
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA (2005)
Toward detecting emotions in spoken dialogs
CM Lee et al.
IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING (2005)
Decision tree algorithm for detection of spatial processes in landscape transformation
J Bogaert et al.
ENVIRONMENTAL MANAGEMENT (2004)
Time series classfication using Gaussian mixture models of reconstructed phase spaces
RJ Povinelli et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2004)
Vocal communication of emotion: A review of research paradigms
KR Scherer
SPEECH COMMUNICATION (2003)
Acoustical properties of speech as indicators of depression and suicidal risk
DJ France et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2000)