Articoli correlati a Deep Learning for Speech Signal Classification: A CNN-LSTM...

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

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

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

Sinossi

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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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
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