A Methodical Framework Utilizing Transforms and Biomimetic Intelligence-Based Optimization with Machine Learning for Speech Emotion Recognition

A Methodical Framework Utilizing Transforms and Biomimetic Intelligence-Based Optimization with Machine Learning for Speech Emotion Recognition

Speech emotion recognition (SER) tasks are conducted to extract emotional features from speech signals. The characteristic parameters are analyzed, and the speech emotional states are judged. At present, SER is an important aspect of artificial psychology and artificial intelligence, as it is widely...

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Bibliographic Details
Main Authors: Sunil Kumar Prabhakar, Dong-Ok Won
Format: Article
Language:English
Published: MDPI AG 2024-08-01
Series:Biomimetics
Subjects:
SER
transforms
feature selection
classification
ELM
Online Access:https://www.mdpi.com/2313-7673/9/9/513
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