Top 10 Best Books to Read in Voice Recognition Software - August 2021

Here are our top ten recommendations if you are looking for the best books to read in Voice Recognition Software. We have made sure our list is diverse to cater to the interests of different types of readers.

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

Top 10 Best Books to Read in Voice Recognition Software - August 2021

Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size—small 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 gestures Work with Arduino and ultra-low-power microcontrollers Learn the essentials of ML and how to train your own models Train models to understand audio, image, and accelerometer data Explore TensorFlow Lite for Microcontrollers, Google’s toolkit for TinyML Debug applications and provide safeguards for privacy and security Optimize latency, energy usage, and model and binary size

  • Author: Pete Warden
  • Publisher: O'Reilly Media; 1st edition (January 7, 2020)
  • Genre: Computers & Technology, Computer Science
  • ISBN: 978-1492052043
  • Dimensions: 7 x 1.01 x 9.19 inches


2. The Writer's Guide to Training Your Dragon: Using Speech Recognition Software to Dictate Your Book and Supercharge Your Writing Workflow (Dictation Mastery for PC and Mac)

Top 10 Best Books to Read in Voice Recognition Software - August 2021

Want to dictate up to 5000 WORDS an hour? Want to do it with 99% ACCURACY from the day you start? NEW EDITION: UPDATED to cover the latest Dragon Professional Individual v15 for PC & v6 for Mac FREE video training included! As writers, we all know what an incredible tool dictation software can be. It enables us to write faster and avoid the dangers of RSI and a sedentary lifestyle. But many of us give up on dictating when we find we can't get the accuracy we need to be truly productive. This book changes all of that. With almost two decades of using Dragon software under his belt and a wealth of insider knowledge from within the dictation industry, Scott Baker will reveal how to supercharge your writing and achieve sky-high recognition accuracy from the moment you start using the software. You will learn: - Hidden tricks to use when installing Dragon on a Windows PC or Mac; - How to choose the right microphone and set it up perfectly for speech recognition; - The little-known techniques that will ensure around 99% accuracy from your first install – and how to make this even better over time; - Setting up fail-safe dictation profiles with multiple microphones and voice recorders, without impacting your accuracy; - How to train the software to adapt to you and avoid your accuracy declining; - Strategies for achieving your entire daily word count in just one or two hours; - Many more tips and tricks you won't find anywhere else. At the end of the book, you'll also find an exclusive list of resources and links to FREE video training to take your knowledge even further. It's time to write at the speed of speech – and transform your writing workflow forever!

  • Author: Scott Baker
  • Publisher: Ashe Publishing (February 18, 2016)
  • Genre: Kindle Store, Kindle eBooks, Reference


3. Alexa For Dummies

Top 10 Best Books to Read in Voice Recognition Software - August 2021

Upgrade your Echo expertise with this Dummies guide to all things Alexa Amazon's hugely popular family of Echo devices has made Alexa a household name. She can answer your questions, entertain you, and even help around the house. Alexa for Dummies is the perfect guide for Alexa users who want to get up and running with their Echo devices. From basic setup to making the most of Alexa’s powerful smart home capabilities, this is your one-stop resource to all things Alexa.   Whether you’ll use Alexa to send text messages, play music, control your thermostat, look up recipes, replenish your pantry, or just search the internet for information, you’ll find detailed instructions in this fun and easy-to-understand guide. Set up and personalize your Alexa device with an Amazon account and custom settings, including your preferred Alexa voice Use Alexa to play music throughout your home, stream videos online, and meet all your entertainment needs Unlock the power of advanced features like Alexa Skills and make your Alexa accessible Turn your ordinary house into a modern smart home with advanced smart home features and Echo accessories The virtual assistant you've dreamed of is now a reality with your favorite Echo device . Let Alexa For Dummies make your wish Alexa's command.

  • Author: Paul McFedries
  • Publisher: For Dummies; 1st edition (November 29, 2018)
  • Genre: Computers & Technology, Computer Science
  • ISBN: 978-1119565864
  • Dimensions: 7.3 x 0.7 x 9.1 inches


4. Enterprise Integration Patterns: Designing, Building, and Deploying Messaging Solutions

Top 10 Best Books to Read in Voice Recognition Software - August 2021

Enterprise Integration Patterns provides an invaluable catalog of sixty-five patterns, with real-world solutions that demonstrate the formidable of messaging and help you to design effective messaging solutions for your enterprise.   The authors also include examples covering a variety of different integration technologies, such as JMS, MSMQ, TIBCO ActiveEnterprise, Microsoft BizTalk, SOAP, and XSL. A case study describing a bond trading system illustrates the patterns in practice, and the book offers a look at emerging standards, as well as insights into what the future of enterprise integration might hold.   This book provides a consistent vocabulary and visual notation framework to describe large-scale integration solutions across many technologies. It also explores in detail the advantages and limitations of asynchronous messaging architectures. The authors present practical advice on designing code that connects an application to a messaging system, and provide extensive information to help you determine when to send a message, how to route it to the proper destination, and how to monitor the health of a messaging system. If you want to know how to manage, monitor, and maintain a messaging system once it is in use, get this book.

  • Author: Gregor Hohpe
  • Publisher: Addison-Wesley Professional; 1st edition (October 10, 2003)
  • Genre: Computers & Technology, Programming
  • ISBN: 978-0321200686
  • Dimensions: 7.2 x 1.7 x 9.4 inches


5. Dragon NaturallySpeaking For Dummies

Top 10 Best Books to Read in Voice Recognition Software - August 2021

Master the latest version of Nuance's Dragon NaturallySpeaking This new edition of Dragon NaturallySpeaking For Dummies has been updated to cover all the newest updates to Dragon NaturallySpeaking Version 13, giving readers plain-English access to the technology that ignites new levels of productivity. It enables people to interact with and command their laptop or PC, cruise through email, update Facebook, surf the web, and create reports just by speaking! Inside, you'll find everything you need to get started with this advanced voice recognition software right away. Touted as being three times faster than typing, Dragon NaturallySpeaking software boasts 99% speech accuracy out of the box. Plus, although it is primarily used as voice recognition software, programmers and developers have begun using it as a programming language for app development because the voice recognition makes use of custom tools that can be used to automate programming tasks. It's making waves in the tech world―and you can get in on the action with this hands-on, friendly guide. Includes the most up-to-date information on the latest version of the software Shows you how to launch your Dragon software Includes time-and-sanity-saving tips to make your experience with Dragon NaturallySpeaking headache-free Outlines common mistakes to avoid and unprecedented Dragon tricks If you're a new or inexperienced user who wants to get up to date quickly on all that Dragon NaturallySpeaking can do, this approachable, step-by-step guide has you covered.

  • Author: Stephanie Diamond
  • Publisher: For Dummies; 4th edition (November 24, 2014)
  • Genre: Computers & Technology, Software
  • ISBN: 978-1118961544
  • Dimensions: 7.3 x 1.1 x 9.2 inches


6. Advanced Applied Deep Learning: Convolutional Neural Networks and Object Detection

Top 10 Best Books to Read in Voice Recognition Software - August 2021

Develop and optimize deep learning models with advanced architectures. This book teaches you the intricate details and subtleties of the algorithms that are at the core of convolutional neural networks. In Advanced Applied Deep Learning , you will study advanced topics on CNN and object detection using Keras and TensorFlow.  Along the way, you will look at the fundamental operations in CNN, such as convolution and pooling, and then look at more advanced architectures such as inception networks, resnets, and many more. While the book discusses theoretical topics, you will discover how to work efficiently with Keras with many tricks and tips, including how to customize logging in Keras with custom callback classes, what is eager execution, and how to use it in your models. Finally, you will study how object detection works, and build a complete implementation of the YOLO (you only look once) algorithm in Keras and TensorFlow. By the end of the book you will have implemented various models in Keras and learned many advanced tricks that will bring your skills to the next level. What You Will Learn See how convolutional neural networks and object detection work Save weights and models on disk Pause training and restart it at a later stage Use hardware acceleration (GPUs) in your code Work with the Dataset TensorFlow abstraction and use pre-trained models and transfer learning Remove and add layers to pre-trained networks to adapt them to your specific project Apply pre-trained models such as Alexnet and VGG16 to new datasets   Who This Book Is For Scientists and researchers with intermediate-to-advanced Python and machine learning know-how. Additionally, intermediate knowledge of Keras and TensorFlow is expected.

  • Author: Umberto Michelucci
  • Publisher: Apress; 1st ed. edition (September 29, 2019)
  • Genre: Computers & Technology, Computer Science
  • ISBN: 978-1484249758
  • Dimensions: 6.1 x 0.72 x 9.25 inches


7. Designing Voice User Interfaces: Principles of Conversational Experiences

Top 10 Best Books to Read in Voice Recognition Software - August 2021

Voice user interfaces (VUIs) are becoming all the rage today. But how do you build one that people can actually converse with? Whether you’re designing a mobile app, a toy, or a device such as a home assistant, this practical book guides you through basic VUI design principles, helps you choose the right speech recognition engine, and shows you how to measure your VUI’s performance and improve upon it. Author Cathy Pearl also takes product managers, UX designers, and VUI designers into advanced design topics that will help make your VUI not just functional, but great. Understand key VUI design concepts, including command-and-control and conversational systems Decide if you should use an avatar or other visual representation with your VUI Explore speech recognition technology and its impact on your design Take your VUI above and beyond the basic exchange of information Learn practical ways to test your VUI application with users Monitor your app and learn how to quickly improve performance Get real-world examples of VUIs for home assistants, smartwatches, and car systems

  • Author: Cathy Pearl
  • Publisher: O'Reilly Media; 1st edition (January 10, 2017)
  • Genre: Computers & Technology, Software
  • ISBN: 978-1491955413
  • Dimensions: 6 x 0.5 x 9 inches


8. Future Minds: The Rise of Intelligence from the Big Bang to the End of the Universe

Top 10 Best Books to Read in Voice Recognition Software - August 2021

For readers of Michio Kaku and Stephen Hawking, the book readers have acclaimed as "A mega-comprehensive outlook at intelligence as convincing as it is surprising" and "A truly breathtaking forecast on the future of intelligence." With the ongoing advancement of AI and other technologies, our world is becoming increasingly intelligent. From chatbots to innovations in brain-computer interfaces to the possibility of superintelligences leading to the Singularity later this century, our reality is being transformed before our eyes. This is commonly seen as the natural result of progress, but what if there’s more to it than that? What if intelligence is an inevitability, an underlying property of the universe?   In Future Minds , Richard Yonck challenges our assumptions about intelligence—what it is, how it came to exist, its place in the development of life on Earth and possibly throughout the cosmos. Taking a Big History perspective—over the 14 billion years from the Big Bang to the present and beyond—he draws on recent developments in physics and complexity theory to explore the questions: Why do pockets of increased complexity develop, giving rise to life, intelligence, and civilization? How will it grow and change throughout this century, transforming both technology and humanity? As we expand outward from our planet, will we discover other forms of intelligence, or will we conclude we are destined to go it alone? Any way we look at it, the nature of intelligence in the universe is becoming a central concern for humanity. Ours. Theirs. And everything in between.

  • Author: Richard Yonck
  • Publisher: Arcade; Illustrated edition (March 17, 2020)
  • Genre: Computers & Technology, Computer Science
  • ISBN: 978-1948924382
  • Dimensions: 6 x 1.5 x 9 inches


9. Deep Learning for NLP and Speech Recognition

Top 10 Best Books to Read in Voice Recognition Software - August 2021

This textbook explains Deep Learning Architecture, with applications to various NLP Tasks, including Document Classification, Machine Translation, Language Modeling, and Speech Recognition. With the widespread adoption of deep learning, natural language processing (NLP),and speech applications in many areas (including Finance, Healthcare, and Government) there is a growing need for one comprehensive resource that maps deep learning techniques to NLP and speech and provides insights  into  using  the  tools  and  libraries  for  real-world  applications.  Deep Learning for NLP and Speech Recognition  explains recent deep learning methods applicable to NLP and speech, provides state-of-the-art approaches, and offers real-world case studies with code to provide hands-on experience.   Many books focus on deep learning theory or deep learning for NLP-specific tasks while others are cookbooks for tools and libraries, but the constant flux of new algorithms, tools, frameworks, and libraries in a rapidly evolving landscape means that there are few available texts that offer the material in this book.  The book is organized into three parts, aligning to different groups of readers and their expertise. The three parts are:        Machine Learning, NLP, and Speech Introduction The first part has three chapters that introduce readers to the fields of  NLP, speech recognition,  deep learning and machine learning with basic theory and hands-on case studies using Python-based tools and libraries.        Deep Learning Basics The five chapters in the second part introduce deep learning and various topics that are crucial for speech and text processing, including word embeddings, convolutional neural networks, recurrent neural networks and speech recognition basics. Theory, practical tips, state-of-the-art methods, experimentations and analysis in using the methods discussed in theory on real-world tasks.        Advanced Deep Learning Techniques for Text and Speech The third part has five chapters that discuss the latest and cutting-edge research in the areas of deep learning that intersect with NLP and speech. Topics including attention mechanisms, memory augmented networks, transfer learning, multi-task learning, domain adaptation, reinforcement learning, and end-to-end deep learning for speech recognition are covered using case studies.

  • Author: Uday Kamath
  • Publisher: Springer; 1st ed. 2019 edition (August 14, 2020)
  • Genre: Computers & Technology, Computer Science
  • ISBN: 978-3030145989
  • Dimensions: 7 x 1.31 x 10 inches


10. Automatic Speech Recognition: A Deep Learning Approach (Signals and Communication Technology)

Top 10 Best Books to Read in Voice Recognition Software - August 2021

This book provides a comprehensive overview of the recent advancement in the field of automatic speech recognition with a focus on deep learning models including deep neural networks and many of their variants. This is the first automatic speech recognition book dedicated to the deep learning approach. In addition to the rigorous mathematical treatment of the subject, the book also presents insights and theoretical foundation of a series of highly successful deep learning models.

  • Author: Dong Yu
  • Publisher: Springer; 2015th edition (November 11, 2014)
  • Genre: Kindle Store, Kindle eBooks, Engineering & Transportation