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

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

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

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2025
Idioma
Inglés
ISBN 10 
6208432790
ISBN 13 
9786208432799
Encuadernación
Tapa blanda
Número de páginas
52
Contacto del fabricante
no disponible
Persona responsable
no disponible