Automated accurate speech emotion recognition system using twine shuffle pattern and iterative neighborhood component analysis techniques
Speech emotion recognition is one of the challenging research issues in the knowledge-
based system and various methods have been recommended to reach high classification …
based system and various methods have been recommended to reach high classification …
[PDF][PDF] Multilayer Neural Network Based Speech Emotion Recognition for Smart Assistance.
Day by day, biometric-based systems play a vital role in our daily lives. This paper proposed
an intelligent assistant intended to identify emotions via voice message. A biometric system …
an intelligent assistant intended to identify emotions via voice message. A biometric system …
Speech emotion recognition using clustering based GA-optimized feature set
Speech Emotion Recognition (SER) is a hot topic in academia and industry. Feature
engineering plays a pivotal role in building an efficient SER. Although researchers have …
engineering plays a pivotal role in building an efficient SER. Although researchers have …
MFF-SAug: Multi feature fusion with spectrogram augmentation of speech emotion recognition using convolution neural network
S Jothimani, K Premalatha - Chaos, Solitons & Fractals, 2022 - Elsevier
Abstract The Speech Emotion Recognition (SER) is a complex task because of the feature
selections that reflect the emotion from the human speech. The SER plays a vital role and is …
selections that reflect the emotion from the human speech. The SER plays a vital role and is …
Hybrid LSTM-transformer model for emotion recognition from speech audio files
Emotion is a vital component in daily human communication and it helps people understand
each other. Emotion recognition plays a crucial role in developing human-computer …
each other. Emotion recognition plays a crucial role in developing human-computer …
A novel approach for classification of speech emotions based on deep and acoustic features
MB Er - IEEE Access, 2020 - ieeexplore.ieee.org
The problem of recognition and classification of emotions in speech is one of the most
prominent research topics, that has gained popularity, in human-computer interaction in the …
prominent research topics, that has gained popularity, in human-computer interaction in the …
A hybrid meta-heuristic ensemble based classification technique speech emotion recognition
RV Darekar, M Chavan, S Sharanyaa… - Advances in Engineering …, 2023 - Elsevier
This research intends to propose a new unique and automated speech emotion
reorganization model by going through. Initially, the obtained raw speech data is filtered …
reorganization model by going through. Initially, the obtained raw speech data is filtered …
Hybrid deep learning with optimal feature selection for speech emotion recognition using improved meta-heuristic algorithm
K Manohar, E Logashanmugam - Knowledge-Based Systems, 2022 - Elsevier
Speech emotion recognition is the crucial stream in emotional computing and also create
few issues owing to its complication in processing. The efficiency of the acoustic methods …
few issues owing to its complication in processing. The efficiency of the acoustic methods …
An efficient feature selection method for arabic and english speech emotion recognition using Grey Wolf Optimizer
Nowadays, analyzing and interpreting emotions through human speech communication
have drawn a great attention in the field of human-computer interaction. Therefore, many …
have drawn a great attention in the field of human-computer interaction. Therefore, many …
Speech emotion recognition based on multiple acoustic features and deep convolutional neural network
K Bhangale, M Kothandaraman - Electronics, 2023 - mdpi.com
Speech emotion recognition (SER) plays a vital role in human–machine interaction. A large
number of SER schemes have been anticipated over the last decade. However, the …
number of SER schemes have been anticipated over the last decade. However, the …