Databases, features and classifiers for speech emotion recognition: a review
Speech is an effective medium to express emotions and attitude through language. Finding
the emotional content from a speech signal and identify the emotions from the speech …
the emotional content from a speech signal and identify the emotions from the speech …
EEG channel correlation based model for emotion recognition
Abstract Emotion recognition using Artificial Intelligence (AI) is a fundamental prerequisite to
improve Human-Computer Interaction (HCI). Recognizing emotion from …
improve Human-Computer Interaction (HCI). Recognizing emotion from …
Analysis of emotional speech—A review
P Gangamohan, SR Kadiri… - Toward Robotic Socially …, 2016 - Springer
Speech carries information not only about the lexical content, but also about the age,
gender, signature and emotional state of the speaker. Speech in different emotional states is …
gender, signature and emotional state of the speaker. Speech in different emotional states is …
Analysis and detection of pathological voice using glottal source features
Automatic detection of voice pathology enables objective assessment and earlier
intervention for the diagnosis. This study provides a systematic analysis of glottal source …
intervention for the diagnosis. This study provides a systematic analysis of glottal source …
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 …
Speech emotion recognition using discriminative dimension reduction by employing a modified quantum-behaved particle swarm optimization algorithm
F Daneshfar, SJ Kabudian - Multimedia Tools and Applications, 2020 - Springer
Abstract In recent years, Speech Emotion Recognition (SER) has received considerable
attention in affective computing field. In this paper, an improved system for SER is proposed …
attention in affective computing field. In this paper, an improved system for SER is proposed …
Multi-type features separating fusion learning for Speech Emotion Recognition
Abstract Speech Emotion Recognition (SER) is a challengeable task to improve human–
computer interaction. Speech data have different representations, and choosing the …
computer interaction. Speech data have different representations, and choosing the …
Glottal source information for pathological voice detection
NP Narendra, P Alku - IEEE Access, 2020 - ieeexplore.ieee.org
Automatic methods for the detection of pathological voice from healthy speech can be
considered as potential clinical tools for medical treatment. This study investigates the …
considered as potential clinical tools for medical treatment. This study investigates the …
Exploiting the potentialities of features for speech emotion recognition
In recent years, studies on speech signals have increasingly paid attention to emotional
information. The most challenging aspect in speech emotion recognition (SER) is choosing …
information. The most challenging aspect in speech emotion recognition (SER) is choosing …
Emotion detection from multilingual audio using deep analysis
Human emotion detection from multiple languages is a very challenging job. In this work, we
have used language emotional databases of various languages such as–Ryerson-Audio …
have used language emotional databases of various languages such as–Ryerson-Audio …