Items related to Deep Learning for Speech Signal Classification: A CNN-LSTM...
Synopsis
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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Deep Learning for Speech Signal Classification: A CNN-LSTM Approach
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LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208432790
ISBN 13: 9786208432799
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Deep Learning for Speech Signal Classification (Paperback)
Published by
LAP Lambert Academic Publishing, 2025
ISBN 10: 6208432790
ISBN 13: 9786208432799
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Paperback. Condition: new. Paperback. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9786208432799
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Deep Learning for Speech Signal Classification
Published by
LAP LAMBERT Academic Publishing Mär 2025, 2025
ISBN 10: 6208432790
ISBN 13: 9786208432799
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Taschenbuch
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 52 pp. Englisch. Seller Inventory # 9786208432799
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Deep Learning for Speech Signal Classification : A CNN-LSTM Approach
Published by
LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208432790
ISBN 13: 9786208432799
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Seller Inventory # 9786208432799
Quantity: 1 available
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Deep Learning for Speech Signal Classification
Published by
LAP LAMBERT Academic Publishing Mär 2025, 2025
ISBN 10: 6208432790
ISBN 13: 9786208432799
New
Taschenbuch
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Taschenbuch. Condition: Neu. Neuware Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch. Seller Inventory # 9786208432799
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