{ "item_title" : "Deep Learning for Speech Signal Classification", "item_author" : [" Ragupathy K", "Arun M", "Anand T "], "item_description" : "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.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/6/20/843/279/6208432790_b.jpg", "price_data" : { "retail_price" : "50.92", "online_price" : "50.92", "our_price" : "50.92", "club_price" : "50.92", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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