Trends in speech emotion recognition: a comprehensive survey
K Kaur, P Singh - Multimedia Tools and Applications, 2023 - Springer
Among the other modes of communication, such as text, body language, facial expressions,
and so on, human beings employ speech as the most common. It contains a great deal of …
and so on, human beings employ speech as the most common. It contains a great deal of …
A comparison of machine learning algorithms and feature sets for automatic vocal emotion recognition in speech
Vocal emotion recognition (VER) in natural speech, often referred to as speech emotion
recognition (SER), remains challenging for both humans and computers. Applied fields …
recognition (SER), remains challenging for both humans and computers. Applied fields …
Speech emotion recognition using CNN, k-NN, MLP and random forest
J Kaur, A Kumar - … Technologies: Proceedings of Third ICCNCT 2020, 2021 - Springer
Emotion recognition from speech has become a hot topic among researchers. This paper
describes several methods to recognize emotions from speech signals using machine …
describes several methods to recognize emotions from speech signals using machine …
Pattern analysis based acoustic signal processing: a survey of the state-of-art
J Chaki - International Journal of Speech Technology, 2021 - Springer
Audio signal processing is the most challenging field in the current era for an analysis of an
audio signal. Audio signal classification (ASC) comprises of generating appropriate features …
audio signal. Audio signal classification (ASC) comprises of generating appropriate features …
Dimensionality reduction techniques: Principles, benefits, and limitations
In machine learning, the effectiveness of the classification and regression analysis is often
based on the reliability and dimension of the features representing the patterns …
based on the reliability and dimension of the features representing the patterns …
Detection and classification of brain tumor using magnetic resonance images
L Sahoo, L Sarangi, BR Dash, HK Palo - Advances in Electrical Control …, 2020 - Springer
The paper aims to provide a comparative study on the detection and classification of brain
tumors (BT) using different machine learning algorithms. In the process, different popular …
tumors (BT) using different machine learning algorithms. In the process, different popular …
Comparison of classifiers for speech emotion recognition (SER) with discriminative spectral features
This paper compares the classification ability of a few efficient classifiers in recognizing
human speech emotions in terms of accuracy, computation time, and feature dimension …
human speech emotions in terms of accuracy, computation time, and feature dimension …
Semantic IoT: The key to realizing IoT value
HK Palo - Semantic IoT: Theory and Applications: Interoperability …, 2021 - Springer
The virtual representation and integration of the internet with the physical objects, devices or
things have been growing exponentially in recent years. This has motivated the community …
things have been growing exponentially in recent years. This has motivated the community …
Analysis of Speaker's Age Using Clustering Approaches With Emotionally Dependent Speech Features
Emotions are age, gender, culture, speaker, and situationally dependent. Due to an
underdeveloped vocal tract or the vocal folds of children and a weak or aged speech …
underdeveloped vocal tract or the vocal folds of children and a weak or aged speech …
Characterization of power quality disturbances and their efficient classification
Abstract Characterization and classification of power quality (PQ) disturbances are an
essential component in the field of power engineering to meet consumer demands. Accurate …
essential component in the field of power engineering to meet consumer demands. Accurate …