Hybrid BBO_PSO and higher order spectral features for emotion and stress recognition from natural speech
The aim of the present study is to select a set of higher order spectral features for
emotion/stress recognition system. 50 Bispectral (28 features) and Bicoherence (22 …
emotion/stress recognition system. 50 Bispectral (28 features) and Bicoherence (22 …
Bispectral features and mean shift clustering for stress and emotion recognition from natural speech
A new set of features and feature enhancement techniques are proposed to recognize
emotion and stress from speech signal. The speech waveforms and the glottal waveforms …
emotion and stress from speech signal. The speech waveforms and the glottal waveforms …
A new hybrid PSO assisted biogeography-based optimization for emotion and stress recognition from speech signal
Speech signals and glottal signals convey speakers' emotional state along with linguistic
information. To recognize speakers' emotions and respond to it expressively is very much …
information. To recognize speakers' emotions and respond to it expressively is very much …
Stressed Speech Emotion Recognition Using Teager Energy and Spectral Feature Fusion with Feature Optimization
SR Bandela, S Siva Priyanka… - Computational …, 2023 - Wiley Online Library
The objective of speech emotion recognition (SER) is to enhance man–machine interface. It
can also be used to cover the physiological state of a person in critical situations. In recent …
can also be used to cover the physiological state of a person in critical situations. In recent …
Particle swarm optimization based feature enhancement and feature selection for improved emotion recognition in speech and glottal signals
In the recent years, many research works have been published using speech related
features for speech emotion recognition, however, recent studies show that there is a strong …
features for speech emotion recognition, however, recent studies show that there is a strong …
Speech emotion recognition using hybrid spectral-prosodic features of speech signal/glottal waveform, metaheuristic-based dimensionality reduction, and Gaussian …
In this paper, a hybrid system consisting of three stages of feature extraction, dimensionality
reduction, and feature classification is proposed for speech emotion recognition (SER). At …
reduction, and feature classification is proposed for speech emotion recognition (SER). At …
Machine learning approach of speech emotions recognition using feature fusion technique
B Paul, S Bera, T Dey, S Phadikar - Multimedia Tools and Applications, 2024 - Springer
In advancement of machine learning aspect, speech based emotional states identification
must have a profound impact on artificial intelligence. Proper feature selection performs a …
must have a profound impact on artificial intelligence. Proper feature selection performs a …
Language-independent hyperparameter optimization based speech emotion recognition system
A Thakur, SK Dhull - International Journal of Information Technology, 2022 - Springer
Speech emotion recognition is challenging due to substantially overlapping regions of
emotions. Extracting desired features that influence emotions in a speech and categorizing …
emotions. Extracting desired features that influence emotions in a speech and categorizing …
Enhancing speech emotion recognition with the Improved Weighted Average Support Vector method
X Zhang, H Xiao - Biomedical Signal Processing and Control, 2024 - Elsevier
Emotions have a vital role in human communication in today's time, they help individuals
express their thoughts and understand the emotions of others better. Speech Emotion …
express their thoughts and understand the emotions of others better. Speech Emotion …
Speech emotion recognition using cepstral features extracted with novel triangular filter banks based on bark and ERB frequency scales
Speech emotion recognition (SER) refers to the process of recognizing the emotional state
of the speaker from the speech utterance. In earlier studies, wide varieties of cepstral …
of the speaker from the speech utterance. In earlier studies, wide varieties of cepstral …