Speech Emotion Recognition: Comparative Analysis of CNN-LSTM and Attention-Enhanced CNN-LSTM Models

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Speech Emotion Recognition: Comparative Analysis of CNN-LSTM and Attention-Enhanced CNN-LSTM Models

Speech Emotion Recognition (SER) technology helps computers understand human emotions in speech, which fills a critical niche in advancing human–computer interaction and mental health diagnostics. The primary objective of this study is to enhance SER accuracy and generalization through innovative de...

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Bibliographic Details
Main Authors:	Jamsher Bhanbhro, Asif Aziz Memon, Bharat Lal, Shahnawaz Talpur, Madeha Memon
Format:	Article
Language:	English
Published:	MDPI AG 2025-05-01
Series:	Signals
Subjects:	speech emotion recognition CNN-LSTM attention mechanism deep learning audio processing SER
Online Access:	https://www.mdpi.com/2624-6120/6/2/22
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