Best Speech & Audio Processing Books

These books are used by students of top universities, institutes and colleges.

1. Deep Learning with Python

Author: by François Chollet
1617294438
Manning Publications
English

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SummaryDeep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher Franois Chollet, this book builds your understanding through intuitive explanations and practical examples.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the TechnologyMachine learning has made remarkable progress in recent years. We went from near-unusable speech and image recognition, to near-human accuracy.

We went from machines that couldn’t beat a serious Go player, to defeating a world champion. Behind this progress is deep learninga combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications. About the BookDeep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library.

Written by Keras creator and Google AI researcher Franois Chollet, this book builds your understanding through intuitive explanations and practical examples. You’ll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you’ll have the knowledge and hands-on skills to apply deep learning in your own projects.


2. TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers

Author: by Pete Warden
O'Reilly Media
English
504 pages

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Deep learning networks are getting smaller.Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in sizesmall enough to run on a microcontroller. With this practical book you’ll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices.

Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who want to build embedded systems using machine learning, this guide walks you through creating a series of TinyML projects, step-by-step.

No machine learning or microcontroller experience is necessary. Build a speech recognizer, a camera that detects people, and a magic wand that responds to gesturesWork with Arduino and ultra-low-power microcontrollersLearn the essentials of ML and how to train your own modelsTrain models to understand audio, image, and accelerometer dataExplore TensorFlow Lite for Microcontrollers, Google’s toolkit for TinyMLDebug applications and provide safeguards for privacy and securityOptimize latency, energy usage, and model and binary size


3. Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow

Author: by Hannes Hapke
O'Reilly Media
English
366 pages

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Companies are spending billions on machine learning projects, but it’s money wasted if the models can’t be deployed effectively. In this practical guide, Hannes Hapke and Catherine Nelson walk you through the steps of automating a machine learning pipeline using the TensorFlow ecosystem.

You’ll learn the techniques and tools that will cut deployment time from days to minutes, so that you can focus on developing new models rather than maintaining legacy systems. Data scientists, machine learning engineers, and DevOps engineers will discover how to go beyond model development to successfully productize their data science projects, while managers will better understand the role they play in helping to accelerate these projects.

Understand the steps that make up a machine learning pipelineBuild your pipeline using components from TensorFlow ExtendedOrchestrate your machine learning pipeline with Apache Beam, Apache Airflow and Kubeflow PipelinesWork with data using TensorFlow Data Validation and TensorFlow TransformAnalyze a model in detail using TensorFlow Model AnalysisExamine fairness and bias in your model performanceDeploy models with TensorFlow Serving or convert them to TensorFlow Lite for mobile devicesUnderstand privacy-preserving machine learning techniques


4. Step By Step Mixing: How to Create Great Mixes Using Only 5 Plug-ins

Author: by Bjorgvin Benediktsson
Bowker (May 9, 2019)
English
156 pages

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The 2nd Edition of the #1 Amazon Best-Seller For Musicians and Engineers Looking to Skyrocket Their Mixing Skills… Learn a Proven Step By Step Mixing Process That’s Helped Thousands of Musicians Like Yourself Make Amazing Mixes in Their Home Studio, Using Only EQ, Compression, Reverb, Delay, and Saturation”This is the NO BS guide to taking your mixes to the next level!

Bjrgvin has been teaching and writing about recording for a decade, and really understands that stuff that we all struggle with in the home studio. Step By Step Mixing takes you through the full process of making sure your mixes rock from ruff to radio ready!”-Lij Shaw, Award winning Producer and Podcaster of Recording Studio RockstarsLet Me Ask You This: Do you fight to make all your instruments fit together in a busy mix?

Do you struggle to EQ each instrument to sit in their frequency range without getting in the way of everything else? Do you tear your hair out finding the right compression setting for each track? Do you have a hard time using reverb and delay without cluttering up your mix?


5. Representation Learning for Natural Language Processing

Author: by Zhiyuan Liu
B08CT6WSV2
Springer
July 3, 2020

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This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents.

Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions.

The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.


6. Amazon Echo Show 5 & Echo Show 8 The Complete User Guide – Learn to Use Your Echo Show Like A Pro: Includes Alexa Skills, Tips and Tricks

Author: by CJ Andersen
English
135 pages
1703899369

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2020 – 2021 EditionThe Amazon Echo Show 5 and Echo Show 8 are the two new outstanding Alexa enabled Echo devices. This is the complete, up to date Echo Show 5 & Echo Show 8 user guide from Tech Ace CJ Andersen that will show you how to use this new device like a pro.

This guide covers every aspect of the Echo Show and its AI software Alexa including:Echo Show Setup Alexa App BasicsWatching Amazon Video Watching Movie Trailers Controlling Fire TV Controlling Dish TV Listening to MusicListening to Audio BooksShopping Lists & To-do ListsReminders, Alarms & Timers Alexa Skills Smart Home DevicesAsking Questions Check and Manage Your Calendar Find Local Businesses and RestaurantsFind Traffic Information Weather Information Go to the Movies Hear the News SportsShop Amazon Calls and Messaging And all other Echo Show Settings


7. A Digital Signal Processing Primer: with Applications to Digital Audio and Computer Music

Author: by Kenneth Steiglitz
English
320 pages

0486845834

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An informal and easy-to-understand introduction to digital signal processing, this treatment emphasizes digital audio and applications to computer music. Topics include: Phasors and tuning forks The wave equation Sampling and quantizing Feedforward and feedback filters Comb and string filters Periodic sounds Transform methods Filter design The text provides a working knowledge and understanding of frequency-domain methods and features questions and suggested experiments that help readers understand and apply digital signal processing theory and techniques.

For undergraduate and graduate students of digital signal processing in engineering and computer science courses, composers of computer music and those who work with digital sound, internet developers who work with multimedia, and science-oriented readers seeking an introduction to the subject.


8. Writing Interactive Music for Video Games: A Composer's Guide (Game Design)

Author: by Michael Sweet
English
512 pages
0321961587

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This book is a must read for newcomers and experienced composers wanting to learn more about the art of video game composition. Chuck Doud, Director of Music, Sony Computer Entertainment Worldwide Studios All You Need to Know to Create Great Video Game Music Written by the developer of Berklee School of Music’s pioneering game scoring program, this guide covers everything professional composers and music students need to know about composing interactive music for video games, and contains exclusive tools for interactive scoringtools that were previously available only at Berklee.

Drawing on twenty years of professional experience in the game industry, Michael Sweet helps you master the unique language of music storytelling in games. Next, he walks you through the entire music composition process, from initial conceptualization and creative direction through implementation.

Inside, you’ll find dozens of examples that illustrate adaptive compositional techniques, from small downloadable games to multimillion dollar console titles. In addition, this guide covers the business side of video game composition, sharing crucial advice about contracts, pricing, sales, and marketing.


9. The Audio Programming Book (The MIT Press)

Author: by Richard Boulanger
The MIT Press
English
889 pages

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An encyclopedic handbook on audio programming for students and professionals, with many cross-platform open source examples and a DVD covering advanced topics. This comprehensive handbook of mathematical and programming techniques for audio signal processing will be an essential reference for all computer musicians, computer scientists, engineers, and anyone interested in audio.

Designed to be used by readers with varying levels of programming expertise, it not only provides the foundations for music and audio development but also tackles issues that sometimes remain mysterious even to experienced software designers. Exercises and copious examples (all cross-platform and based on free or open source software) make the book ideal for classroom use.

Fifteen chapters and eight appendixes cover such topics as programming basics for C and C++ (with music-oriented examples), audio programming basics and more advanced topics, spectral audio programming; programming Csound opcodes, and algorithmic synthesis and music programming. Appendixes cover topics in compiling, audio and MIDI, computing, and math.

10. Composing Music for Games: The Art, Technology and Business of Video Game Scoring

Author: by Chance Thomas
Routledge
English
364 pages

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Practical LaTeX covers the material that is needed for everyday LaTeX documents. This accessible manual is friendly, easy to read, and is designed to be as portable as LaTeX itself. A short chapter, Mission Impossible, introduces LaTeX documents and presentations.

Read these 30 pages; you then should be able to compose your own work in LaTeX. The remainder of the book delves deeper into the topics outlined in Mission Impossible while avoiding technical subjects. Chapters on presentations and illustrations are a highlight, as is the introduction of LaTeX on an iPad.

Students, faculty, and professionals in the worlds of mathematics and technology will benefit greatly from this new, practical introduction to LaTeX. George Grtzer, author of More Math into LaTeX (now in its 4th edition) and First Steps in LaTeX, has been a LaTeX guru for over a quarter of century.

From the reviews of More Math into LaTeX:“There are several LaTeX guides, but this one wins hands down for the elegance of its approach and breadth of coverage.”Amazon. Com, Best of 2000, Editors Choice“A very helpful and useful tool for all scientists and engineers.”Review of Astronomical Tools“A novice reader will be able to learn the most essential features of LaTeX sufficient to begin typesetting papers within a few hours of timeAn experienced TeX user, on the other hand, will find a systematic and detailed discussion of all LaTeX features, supporting software, and many other advanced technical issues.”Reports on Mathematical Physics

12. The Radiology Report: A Guide to Thoughtful Communication for Radiologists and Other Medical Professionals

Author: by Curtis P. Langlotz
B013W7L93O
Curtis P. Langlotz
English

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An essential resource for medical imaging professionals, this book provides everything you need to create exceptional radiology reports. In an accessible and informal style, one of the foremost experts on radiology reporting gives you practical tips for precise image interpretation and clear communication.

This book should be required reading for radiologists in training, and is destined to become an indispensable part of every radiologist’s library. Topics include:The virtues of normalHow to say I don’t knowBuilding a rhetorical foundationSpatial relationshipsMaking recommendationsSuggesting clinical correlationThe hedgeSeverity straddlingSize mattersEponyms in radiologyA summary of reporting best practicesHow speech recognition worksOptimizing your speech recognitionTemplates and macrosThe history of radiology reportingStructured reporting case studyStructured reporting: what you can do todayStandard terminology for the radiology reportHow to think about imaging informationLogic, probability, and the radiology reportDecision making in radiologyThe radiology report in 2025

13. Augmented Human: How Technology Is Shaping the New Reality

Author: by Helen Papagiannis
1491928328
O'Reilly Media
English

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Augmented Reality (AR) blurs the boundary between the physical and digital worlds. In AR’s current exploration phase, innovators are beginning to create compelling and contextually rich applications that enhance a user’s everyday experiences. In this book, Dr. Helen Papagiannisa world-leading expert in the fieldintroduces you to AR: how it’s evolving, where the opportunities are, and where it’s headed.

If you’re a designer, developer, entrepreneur, student, educator, business leader, artist, or simply curious about AR’s possibilities, this insightful guide explains how you can become involved with an exciting, fast-moving technology. You’ll explore how:Computer vision, machine learning, cameras, sensors, and wearables change the way you see the worldHaptic technology syncs what you see with how something feelsAugmented sound and hearables alter the way you listen to your environmentDigital smell and taste augment the way you share and receive informationNew approaches to storytelling immerse and engage users more deeplyUsers can augment their bodies with electronic textiles, embedded technology, and brain-controlled interfacesHuman avatars can learn our behaviors and act on our behalf

14. More Math Into LaTeX

Author: by George Grätzer
Springer
English
639 pages

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For over two decades, this comprehensive manual has been the standard introduction and complete reference for writing articles and books containing mathematical formulas. If the reader requires a streamlined approach to learning LaTeX for composing everyday documents, Grtzer’s 2014 Practical LaTeX may also be a good choice.

In this carefully revised fifth edition, the Short Course has been brought up to date and reflects a modern and practical approach to LaTeX usage. New chapters have been added on illustrations and how to use LaTeX on an iPad.

Key features:An example-based, visual approach and a gentle introduction with the Short CourseA detailed exposition of multiline math formulas with a Visual GuideA unified approach to TeX, LaTeX, and the AMS enhancementsA quick introduction to creating presentations with formulasFrom earlier reviews:Grtzer’s book is a solution.

European Mathematical Society NewsletterThere are several LaTeX guides, but this one wins hands down for the elegance of its approach and breadth of coverage.Amazon. Com, Best of 2000, Editor’s choiceA novice reader will be able to learn the most essential features of LaTeX sufficient to begin typesetting papers within a few hours of time An experienced TeX user, on the other hand, will find a systematic and detailed discussion of LaTeX features.

15. FL Studio Beginner's Guide: How to Start Making Music in FL Studio – The Ultimate Shortcut

Author: by Screech House
English
107 pages
1719567042

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SAVE TIME, LESS EFFORT, FAST RESULTSCHEAT YOUR WAY THROUGH FL STUDIO: LEARN A LITTLE BUT UNDERSTAND A LOTANY OF THIS SOUND FAMILIAR? There are so many options, I just don’t know where to start. I just bought FL Studio, but I have no idea what I’m doing.

I love the idea of making my own songs, but this is way harder than I thought. Making music doesn’t seem to be for me. I don’t have a technical background. I’m working with FL Studio for more than 3 months now, but my songs still suck.

FL Studio is so overwhelming, I wish I had more time. Yes, learning how to use FL Studio effectively can be a real pain in the butt, especially as a beginner. You just don’t have the right skills, because you simply don’t understand the essential FL Studio basics.

Until nowINTRODUCING: THE ULTIMATE BEGINNER’S SHORTCUT TO MAKING MUSIC IN FL STUDIOMake music fast by discovering the essential FL Studio basics. Only learn 10% but get 90% of the results. Get an organized FL Studio mental map for the rest of your life.