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

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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