Best Speech & Audio Processing Books of 2026

The book "Machine Learning with PyTorch and Scikit-Learn" is a comprehensive guide to machine and deep learning using PyTorch's simple-to-code framework. It covers all the essential machine learning techniques in depth, including generative adversarial networks (GANs) and reinforcement learning. The book is a perfect companion for Python developers new to machine learning or those who want to deepen their knowledge of the latest developments. The clear explanations, visualizations, and examples make it easy for readers to understand the essential parts of PyTorch and create models using popular libraries. Highly recommended for anyone interested in machine learning and deep learning.

This book, titled "Macbook for Seniors," is a comprehensive guide designed for seniors who are new to MacBook Air or MacBook Pro. The book provides step-by-step illustrated instructions and useful tips and tricks to help seniors unlock all the features of their new MacBook. The book also includes a free bonus eBook, "iPad for Seniors." The author, Gary Watts, aims to assist seniors in using their MacBook to its full potential in a simple and guided manner. The book is an excellent resource for seniors who wish to learn how to use their MacBook without asking for any help.

This book, "Apple Watch Seniors Guide: An Insanely Simple Guide for the Non-Tech-Savvy to Master the Latest Watch in No Time," is an excellent resource for seniors who want to learn how to use the Apple Watch Series 7. The author provides easy-to-follow instructions on how to set up the watch, pair it with an iPhone, and use all the essential features. The book also includes helpful tips on how to use Apple Pay, install apps, and troubleshoot common problems. Overall, this book is an excellent guide for seniors who want to master the latest Apple Watch quickly.

Small Signal Audio Design is an updated edition of an essential handbook for audio enthusiasts. The book provides a vast collection of circuits that can be used to build any type of audio system. The author, Douglas Self, has added new chapters on tape machines, guitar electronics, and variable-gain amplifiers. The book is written in an engaging prose style, and the author explains complex theories in a lucid and straightforward manner. The book is highly practical and provides specialized knowledge that is not found anywhere else. Overall, Small Signal Audio Design is a must-read for anyone interested in audio design and engineering.

The book "AI at the Edge: Solving Real-World Problems with Embedded Machine Learning" is a practical guide that introduces the field of edge AI in a clear and accessible way. It offers a comprehensive framework for solving real-world problems with edge AI, covering everything from data collection to model optimization. The book provides readers with an iterative workflow for developing AI systems and offers insight into key design patterns for edge AI applications. The author emphasizes a responsible AI process to create effective products. Overall, the book is a must-read for anyone looking to get started in the field of edge AI.

The "Amazon Alexa: The Complete User Manual" is an updated guide that covers all the features and capabilities of Alexa on various devices, including Amazon Echo, Fire Tablets, and Fire TVs. The guide provides readers with step-by-step instructions on how to set up and use Alexa's features, from controlling smart home devices to shopping lists and reminders. The book also covers Alexa skills, such as playing music and audiobooks, asking questions, and finding local businesses and restaurants. Overall, this guide is a valuable resource for anyone looking to make the most of their Alexa-enabled devices.

"TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers" is a practical guide that introduces readers to the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices. The authors, Pete Warden and Daniel Situnayake, explain how to train models small enough to fit into any environment, and walk readers through creating a series of TinyML projects, step-by-step. This book is ideal for software and hardware developers who want to build embedded systems using machine learning, even if they have no previous experience. Overall, this book is an excellent resource for anyone interested in the intersection of machine learning and embedded systems.

The Step By Step Mixing book is a comprehensive guide for musicians and engineers who want to enhance their mixing skills. The book introduces a proven mixing process that can be used in a home studio using only five plug-ins. The author explains how to use EQ, compression, reverb, delay, and saturation to create amazing mixes that translate to every speaker system. The book is well-written and easy to follow, making it a great resource for beginners and experienced mixers alike. Overall, Step By Step Mixing is a must-read for anyone looking to improve their mixing skills.

The "iPhone 14 Pro Max Complete User Manual" is a comprehensive guide that provides practical tips and tricks to master the latest Apple iPhone. The book uses a unique visual approach with step-by-step instructions and pro tips that will teach readers how to use their iPhone 14 Pro Max like a pro. It covers both basic and complex features, making it an excellent resource for all users. Overall, this book is an excellent resource for anyone looking to take full advantage of the powerful features of the iPhone 14 Pro Max.

Embeddings have revolutionized the field of Natural Language Processing (NLP) and have been instrumental in the development of modern machine learning models. This book provides a comprehensive overview of the main embedding techniques used in NLP, including word sense, sentence, document, and graph embeddings. The book also covers recent advances in contextualized representations, such as ELMo and BERT, and their potential in NLP. The authors, Mohammad Taher Pilehvar and Jose Camacho-Collados, are both experts in the field and have made significant contributions to the study of lexical semantics. Overall, this book is an excellent resource for anyone interested in NLP and vector representations of meaning.