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

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

Brossura

ISBN 10: 6208432790 ISBN 13: 9786208432799

Casa editrice: LAP LAMBERT Academic Publishing, 2025

Riassunto

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.

Dettagli dell'edizione

• Editore: LAP LAMBERT Academic Publishing
• Data di pubblicazione: 2025
• Lingua: Inglese
• ISBN 10: 6208432790
• ISBN 13: 9786208432799
• Rilegatura: Copertina flessibile
• Numero di pagine: 52
• Contatto del produttore: non disponibile
• Persona responsabile: KreGa Onlinehandel GmbH; 4950000000000; info@krega-onlinehandel.de; ; Birkenweg 31; Brakel; 33034; Germania