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

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

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

Inhaltsangabe

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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Über die Autorin bzw. den Autor

Dr. Ragupathy K holds a Ph.D. in Mechanical Engineering and is a distinguished faculty member at Agni College of Technology. His research expertise lies in Aluminium Metal Matrix Composite materials, focusing on enhancing their properties for advanced engineering applications.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2025
Sprache
Englisch
ISBN 10 
6208432790
ISBN 13 
9786208432799
Einband
Taschenbuch
Anzahl der Seiten
52
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Presses Academiques Francophones
customerservice@vdm-vsg.de

Brivibas gatve 197
Riga
1039
Lettland