Articles liés à Deep Learning for Speech Signal Classification: A CNN-LSTM...

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

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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