Deep Learning for Speech Signal Classification: A CNN-LSTM Approach - Couverture souple

K., Dr. RAGUPATHY; M., Arun; T., Dr. ANAND

 
9786208432799: Deep Learning for Speech Signal Classification: A CNN-LSTM Approach
Couverture souple
ISBN 10 : 6208432790 ISBN 13 : 9786208432799
Editeur : LAP LAMBERT Academic Publishing, 2025

Synopsis

Speech signal classification plays a crucial role in speech recognition, speaker identification, emotion detection, and audio processing. This book provides a comprehensive guide to leveraging deep learning techniques—specifically Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks—for effective speech signal classification.Key Topics Covered:Fundamentals of Speech Processing – Understanding speech signals, spectrograms, and feature extraction techniques like MFCCs. Introduction to Deep Learning – Overview of neural networks, CNNs for feature extraction, and LSTMs for capturing temporal dependencies.CNN-LSTM Hybrid Model – A step-by-step approach to combining CNNs and LSTMs for improved speech classification accuracy.

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Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2025
Langue
anglais
ISBN 10 
6208432790
ISBN 13 
9786208432799
Reliure
Broché
Nombre de pages
52
Coordonnées du fabricant
non disponible
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