Enhancing Speech Emotion Recognition Using Dual Feature Extraction Encoders

Enhancing Speech Emotion Recognition Using Dual Feature Extraction Encoders

Understanding and identifying emotional cues in human speech is a crucial aspect of human–computer communication. The application of computer technology in dissecting and deciphering emotions, along with the extraction of relevant emotional characteristics from speech, forms a significant part of th...

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Bibliographic Details
Main Authors: Ilkhomjon Pulatov, Rashid Oteniyazov, Fazliddin Makhmudov, Young-Im Cho
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Sensors
Subjects:
speech emotion recognition
CNN
LSTM
feature extraction
MFCC
spectrogram
Online Access:https://www.mdpi.com/1424-8220/23/14/6640

Internet

https://www.mdpi.com/1424-8220/23/14/6640

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