Deep Learning for Speech Signal Classification

Bys: K, Ragupathy, M, Arun, T, Anand

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.

• Format: Paperback
• Language: English
• ISBN: 6208432790
• ISBN13: 9786208432799
• Release Date: March 2025
• Publisher: LAP Lambert Academic Publishing
• Length: 52 Pages
• Weight: 0.18 lbs.
• Dimensions: 0.1" x 6.0" x 9.0"