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 IntroductionThe 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 BasicsThe 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.  Read more

"A fascinating, and sometimes disturbing" examination of our relationship with artificial intelligence in the tradition of Ray Kurzweil and Michio Kaku (Martin Ford, New York Times-bestselling author of Rise of the Robots).   Imagine a robotic stuffed animal that can respond to a child's emotional state, a commercial that can change based on a customer's facial expression, or even a company that can create feelings as though a person were experiencing them naturally. Heart of the Machine explores the world of affective computing and the next giant step in the relationship between people and technology: computers that can recognize, respond to, and even replicate emotions.   Futurist Richard Yonck argues that emotions--the first, most basic, and most natural form of communication--are how we will soon interact with our technologies. And that instilling emotional awareness into computers is the next leap in our centuries-old obsession with creating machines that replicate humans.   But with every step forward, there are pitfalls. Technology that can manipulate our feelings could open doors to unprecedented levels of mass control. And there is still our deep-seated anxiety about what might happen if machines could actually feel--only to break free from our control.   A fascinating exploration of the evolving relationship between mankind and technology, Heart of the Machine is "a compelling and thorough history of the interaction between our emotional lives and our technology" (Ray Kurzweil). Read more

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 systemsDecide if you should use an avatar or other visual representation with your VUIExplore speech recognition technology and its impact on your designTake your VUI above and beyond the basic exchange of informationLearn practical ways to test your VUI application with usersMonitor your app and learn how to quickly improve performanceGet real-world examples of VUIs for home assistants, smartwatches, and car systems Read more

Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target--from ultra-low power microcontrollers to embedded Linux devices.This practical guide gives engineering professionals, including product managers and technology leaders, an end-to-end framework for solving real-world industrial, commercial, and scientific problems with edge AI. You'll explore every stage of the process, from data collection to model optimization to tuning and testing, as you learn how to design and support edge AI and embedded ML products. Edge AI is destined to become a standard tool for systems engineers. This high-level road map helps you get started.Develop your expertise in AI and ML for edge devicesUnderstand which projects are best solved with edge AIExplore key design patterns for edge AI appsLearn an iterative workflow for developing AI systemsBuild a team with the skills to solve real-world problemsFollow a responsible AI process to create effective products Read more

Welcome to the Age of Gen Ai – The Revolution Has Begun!Born between 2013 and 2024, Generation AI (Gen AI) stands at the forefront of a world seamlessly interwoven with artificial intelligence. They're not just tech-savvy—they embody technology, effortlessly navigating a reality where AI enhances every aspect of their daily lives.In GEN AI - The Next Generation, you'll explore:How Gen AI is redefining digital fluency, mastering technology as intuitively as previous generations mastered reading and writing.AI's profound impact on education, with personalized learning platforms adapting in real-time, empowering students to excel beyond traditional limits.The transformation of healthcare, through proactive AI-driven wellness monitoring, personalized coaching, and preventative care, reshaping how this generation manages health.Financial innovations including cryptocurrency, decentralized finance (DeFi), and AI-driven tools, revolutionizing personal finance and creating unprecedented global financial opportunities.Smart homes and automated living, where AI seamlessly anticipates needs, ensuring comfort, security, and efficiency like never before.Ethical challenges and cultural shifts, as Gen AI navigates the complexities of digital responsibility, data privacy, and cultural interconnectedness through global AI-driven platforms.Whether you're a parent, educator, policymaker, or simply curious about the future, this book provides critical insights into:Why Gen AI's intuitive partnership with technology matters.How their interactions are shaping future workplaces, communities, and societies.Practical strategies to guide Gen AI towards responsible and empowered adulthood.Don't get left behind! Discover how Generation AI is reshaping our world—and what you must know to thrive alongside them.Embrace the future and pick up your copy of GEN AI - The Next Generation! Prepare for the world Generation AI is already creating! Read more

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! Read more

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 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 Read more

Image Correlation for Shape, Motion and Deformation Measurements provides a comprehensive overview of data extraction through image analysis. Readers will find and in-depth look into various single- and multi-camera models (2D-DIC and 3D-DIC), two- and three-dimensional computer vision, and volumetric digital image correlation (VDIC). Fundamentals of accurate image matching are described, along with presentations of both new methods for quantitative error estimates in correlation-based motion measurements, and the effect of out-of-plane motion on 2D measurements. Thorough appendices offer descriptions of continuum mechanics formulations, methods for local surface strain estimation and non-linear optimization, as well as terminology in statistics and probability.With equal treatment of computer vision fundamentals and techniques for practical applications, this volume is both a reference for academic and industry-based researchers and engineers, as well as a valuable companion text for appropriate vision-based educational offerings. Read more

Master the latest version of Nuance's Dragon NaturallySpeakingThis 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 softwareShows you how to launch your Dragon softwareIncludes time-and-sanity-saving tips to make your experience with Dragon NaturallySpeaking headache-freeOutlines common mistakes to avoid and unprecedented Dragon tricksIf 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. Read more

The problem of scale pervades both the natural sciences and the vi­ sual arts. The earliest scientific discussions concentrate on visual per­ ception (much like today!) and occur in Euclid's (c. 300 B. C. ) Optics and Lucretius' (c. 100-55 B. C. ) On the Nature of the Universe. A very clear account in the spirit of modern "scale-space theory" is presented by Boscovitz (in 1758), with wide ranging applications to mathemat­ ics, physics and geography. Early applications occur in the cartographic problem of "generalization", the central idea being that a map in order to be useful has to be a "generalized" (coarse grained) representation of the actual terrain (Miller and Voskuil 1964). Broadening the scope asks for progressive summarizing. Very much the same problem occurs in the (realistic) artistic rendering of scenes. Artistic generalization has been analyzed in surprising detail by John Ruskin (in his Modern Painters), who even describes some of the more intricate generic "scale-spacesin­ gularities" in detail: Where the ancients considered only the merging of blobs under blurring, Ruskin discusses the case where a blob splits off another one when the resolution is decreased, a case that has given rise to confusion even in the modern literature. Read more

Build a versatile home automation system from scratch. There are many ways of controlling home appliances with your smartphones, voice, gestures, etc. This book dives into the many options for for communicating with appliances wirelessly and we’ll discuss and implement the leading protocols in the field.In first few chapters, you will develop a basic understanding of the Raspberry Pi and how one can control it wirelessly from anywhere in the world. Then you’ll get to know about the local server for your home automation projects and control the Raspberry Pi GPIOs using smartphone and web apps. Every appliance will be able to talk to each other, as well, with the help of mesh networking, which you’ll learn to implement. The user interface is also an important aspect of handling all the appliances, so you’ll create your own user dashboard using OpenHAB. From there, you can monitor all the appliances and sensor data in one environment. Next, implement your own custom voice assistant to control your appliances and perform basic tasks like playing music, checking weather, etc. You’ll also integrate a smart door bell into your system using image processing so that you can restrict an unknown person’s entry. Finally, we’ll combine all the knowledge that we have learned to make a fully versatile home automation project controlled using voice, gestures, and image processing. Throughout this whole project, Raspberry Pi will be your master server or node and other devices will be connected wirelessly using wi-fi/Bluetooth modules. Create a smart home with fully custom interfaces to do exactly what you need!What You'll LearnCreate a user interface using openHABImplement the MQTT protocolInstall Alexa and Google Home API to control appliances wirelesslyWho This Book Is ForEnthusiasts with a working knowledge of the Raspberry Pi, electronic engineering, and Python programming. This book will also interest hobbyists and students from Computer Science or related disciplines. Read more

For undergraduate or advanced undergraduate courses in Classical Natural Language Processing, Statistical Natural Language Processing, Speech Recognition, Computational Linguistics, and Human Language Processing.An explosion of Web-based language techniques, merging of distinct fields, availability of phone-based dialogue systems, and much more make this an exciting time in speech and language processing. The first of its kind to thoroughly cover language technology – at all levels and with all modern technologies – this text takes an empirical approach to the subject, based on applying statistical and other machine-learning algorithms to large corporations. The authors cover areas that traditionally are taught in different courses, to describe a unified vision of speech and language processing. Emphasis is on practical applications and scientific evaluation. An accompanying Website contains teaching materials for instructors, with pointers to language processing resources on the Web. The Second Edition offers a significant amount of new and extended material.Supplements:Click on the "Resources" tab to View Downloadable Files: Solutions Power Point Lecture Slides - Chapters 1-5, 8-10, 12-13 and 24 Now Available! For additional resourcse visit the author website: http://www.cs.colorado.edu/~martin/slp.html Read more

SummaryNatural Language Processing in Action is your guide to creating machines that understand human language using the power of Python with its ecosystem of packages dedicated to NLP and AI.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the TechnologyRecent advances in deep learning empower applications to understand text and speech with extreme accuracy. The result? Chatbots that can imitate real people, meaningful resume-to-job matches, superb predictive search, and automatically generated document summaries—all at a low cost. New techniques, along with accessible tools like Keras and TensorFlow, make professional-quality NLP easier than ever before.About the BookNatural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions.What's insideSome sentences in this book were written by NLP! Can you guess which ones?Working with Keras, TensorFlow, gensim, and scikit-learnRule-based and data-based NLPScalable pipelinesAbout the ReaderThis book requires a basic understanding of deep learning and intermediate Python skills.About the AuthorHobson Lane, Cole Howard, and Hannes Max Hapke are experienced NLP engineers who use these techniques in production.Table of ContentsPART 1 - WORDY MACHINESPackets of thought (NLP overview)Build your vocabulary (word tokenization)Math with words (TF-IDF vectors)Finding meaning in word counts (semantic analysis)PART 2 - DEEPER LEARNING (NEURAL NETWORKS)Baby steps with neural networks (perceptrons and backpropagation)Reasoning with word vectors (Word2vec)Getting words in order with convolutional neural networks (CNNs)Loopy (recurrent) neural networks (RNNs)Improving retention with long short-term memory networksSequence-to-sequence models and attentionPART 3 - GETTING REAL (REAL-WORLD NLP CHALLENGES)Information extraction (named entity extraction and question answering)Getting chatty (dialog engines)Scaling up (optimization, parallelization, and batch processing) Read more

Find out what Siri's got up her sleeve with this fun and friendly guide!Who couldn't use a little extra help these days? Answers, information, reminders, and all sorts of additional help are only a verbal query away with Siri, the artificial intelligence personal assistant. Siri made her debut with the iPhone 4 and is now updated for iOS 6 as well as the third-generation iPad and she is ready to assist! This easy-to-understand guide walks you through the vast array of capabilities that Siri boasts, from creating texts and e-mails from dictation to getting directions to finding a restaurant in the area. You'll discover how to check the weather, get sports scores and schedules, look up a movie review, get Facebook and Twitter updates, make dinner reservations, and much more.Explains how to finesse the perfectly worded questions for Siri in order to get the most helpful and accurate answersDetails how to have Siri make phone calls for you, look up information in a dictionary or on the web, or get musicWalks you through using Siri to get stock quotes or enter numbers into a calculator and get an answerShows you how to use Siri to set reminders and alarms, take notes, get turn-by-turn driving directions, and moreJust like Siri, the straightforward-but-fun Siri For Dummies is here to help you! Read more

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Machine Learning: From the Classics to Deep Networks, Transformers and Diffusion Models, Third Edition starts with the basics, including least squares regression and maximum likelihood methods, Bayesian decision theory, logistic regression, and decision trees. It then progresses to more recent techniques, covering sparse modelling methods, learning in reproducing kernel Hilbert spaces and support vector machines. Bayesian learning is treated in detail with emphasis on the EM algorithm and its approximate variational versions with a focus on mixture modelling, regression and classification. Nonparametric Bayesian learning, including Gaussian, Chinese restaurant, and Indian buffet processes are also presented. Monte Carlo methods, particle filtering, probabilistic graphical models with emphasis on Bayesian networks and hidden Markov models are treated in detail. Dimensionality reduction and latent variables modelling are considered in depth. Neural networks and deep learning are thoroughly presented, starting from the perceptron rule and multilayer perceptrons and moving on to convolutional and recurrent neural networks, adversarial learning, capsule networks, deep belief networks, GANs, and VAEs. The book also covers the fundamentals on statistical parameter estimation and optimization algorithms.Focusing on the physical reasoning behind the mathematics, without sacrificing rigor, all methods and techniques are explained in depth, supported by examples and problems, providing an invaluable resource to the student and researcher for understanding and applying machine learning concepts.Provides a number of case studies and applications on a variety of topics, such as target localization, channel equalization, image denoising, audio characterization, text authorship identification, visual tracking, change point detection, hyperspectral image unmixing, fMRI data analysis, machine translation, and text-to-image generationMost chapters include a number of computer exercises in both MatLab and Python, and the chapters dedicated to deep learning include exercises in PyTorch New to this edition The new material includes an extended coverage of attention transformers, large language models, self-supervised learning and diffusion models Read more

Dictation exercises alone worth every penny!Fool Proof Dictation can help anyone learn to dictate prose proficiently and fluently. How?By taking the fear and mystery out of dictation.By providing exercises designed to nurture and connect parts of the brain used during dictation.By offering specific tips to remove the discomfort that causes most writers to abandon dictation.Fool Proof Dictation is the only ebook of its kind, focusing primarily on the mental process of dictation. It’s a self-paced training system that streamlines the dictation process. There are warm-ups, practical exercises, and an easy to follow routine for dictating your scenes.Fool Proof Dictation serves both absolute beginners and writers who’ve tried dictation but grew discouraged, eventually giving it up. This system offers an ease-of-use that will surprise everyone with how effective and gratifying dictation can be!This ebook details the method I use when I dictate fiction. It also explains all the exercises I’ve used over time to train my brain for effective dictation. On top of that, it includes enough prompts to keep those exercises working for months! Read more

The Beauty of Mathematics in Computer Science explains the mathematical fundamentals of information technology products and services we use every day, from Google Web Search to GPS Navigation, and from speech recognition to CDMA mobile services. The book was published in Chinese in 2011 and has sold more than 600,000 copies. Readers were surprised to find that many daily-used IT technologies were so tightly tied to mathematical principles. For example, the automatic classification of news articles uses the cosine law taught in high school.The book covers many topics related to computer applications and applied mathematics including: Natural language processingSpeech recognition and machine translationStatistical language modelingQuantitive measurement of informationGraph theory and web crawlerPagerank for web searchMatrix operation and document classificationMathematical background of big data Neural networks and Google’s deep learningJun Wu was a staff research scientist in Google who invented Google’s Chinese, Japanese, and Korean Web Search Algorithms and was responsible for many Google machine learning projects. He wrote official blogs introducing Google technologies behind its products in very simple languages for Chinese Internet users from 2006-2010. The blogs had more than 2 million followers. Wu received PhD in computer science from Johns Hopkins University and has been working on speech recognition and natural language processing for more than 20 years. He was one of the earliest engineers of Google, managed many products of the company, and was awarded 19 US patents during his 10-year tenure there. Wu became a full-time VC investor and co-founded Amino Capital in Palo Alto in 2014 and is the author of eight books. Read more

An emerging technology, Speaker Recognition is becoming well-known for providing voice authentication over the telephone for helpdesks, call centres and other enterprise businesses for business process automation. "Fundamentals of Speaker Recognition" introduces Speaker Identification, Speaker Verification, Speaker (Audio Event) Classification, Speaker Detection, Speaker Tracking and more. The technical problems are rigorously defined, and a complete picture is made of the relevance of the discussed algorithms and their usage in building a comprehensive Speaker Recognition System. Designed as a textbook with examples and exercises at the end of each chapter, "Fundamentals of Speaker Recognition" is suitable for advanced-level students in computer science and engineering, concentrating on biometrics, speech recognition, pattern recognition, signal processing and, specifically, speaker recognition. It is also a valuable reference for developers of commercial technology and for speech scientists. Please click on the link under "Additional Information" to view supplemental information including the Table of Contents and Index. Read more

As the current recession ends, many workers will not be returning to the jobs they once held--those jobs are gone. In The New Division of Labor, Frank Levy and Richard Murnane show how computers are changing the employment landscape and how the right kinds of education can ease the transition to the new job market. The book tells stories of people at work--a high-end financial advisor, a customer service representative, a pair of successful chefs, a cardiologist, an automotive mechanic, the author Victor Hugo, floor traders in a London financial exchange. The authors merge these stories with insights from cognitive science, computer science, and economics to show how computers are enhancing productivity in many jobs even as they eliminate other jobs--both directly and by sending work offshore. At greatest risk are jobs that can be expressed in programmable rules--blue collar, clerical, and similar work that requires moderate skills and used to pay middle-class wages. The loss of these jobs leaves a growing division between those who can and cannot earn a good living in the computerized economy. Left unchecked, the division threatens the nation's democratic institutions. The nation's challenge is to recognize this division and to prepare the population for the high-wage/high-skilled jobs that are rapidly growing in number--jobs involving extensive problem solving and interpersonal communication. Using detailed examples--a second grade classroom, an IBM managerial training program, Cisco Networking Academies--the authors describe how these skills can be taught and how our adjustment to the computerized workplace can begin in earnest. Read more