Automatic speech emotion recognition using machine learning is a demanding research
topic in the field of affective computing. Identifying the speech features for speech emotion …

Emotional state detection is an important part of human-machine interaction studies. The
features used in emotion recognition are derived from the changes in facial mimics and …

This research presents a novel algorithm for detecting human emotion via speech
recognition by using speech spectrogram. The proposed algorithm aims to detect the …

This research presents a novel algorithm for detecting human emotion via speech
recognition by using speech spectrogram. The proposed algorithm aims to detect the …

Speech emotion recognition, using the convolutional neural networks (CNN) model, is
challenging due to the problem of features loss and the decrease of recognition accuracy …

Recognizing the emotional state of a human being from his/her speech is of great
significance in modern surveillance systems. The Mel-Frequency Cepstral Coefficients …

In this paper, Burmese speech emotion recognition is studied. Local Binary Pattern (LBP) is
proposed as feature extraction for Burmese speech emotion recognition. Because of the …

Emotion is a complicated phenomenon that makes a significant contribution to human
communication. Emotions add meaning to the conversation between individuals and allow …

Identification of emotions from human speech can be attempted by focusing upon three
aspects of emotional speech: valence, arousal and dominance. In this paper, changes in the …

In order to obtain the information of exhaled gas marker concentration of acute kidney injury
patients quickly and accurately, a quantitative VOCs detection system based on metal oxide …