speech emotion recognition using neural network

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Amit Konar Emotion Recognition. A Pattern Analysis Approach Amit Konar Emotion Recognition. A Pattern Analysis Approach
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Amit Konar Emotion Recognition. A Pattern Analysis Approach


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10124.13 руб.

A timely book containing foundations and current research directions on emotion recognition by facial expression, voice, gesture and biopotential signals This book provides a comprehensive examination of the research methodology of different modalities of emotion recognition. Key topics of discussion include facial expression, voice and biopotential signal-based emotion recognition. Special emphasis is given to feature selection, feature reduction, classifier design and multi-modal fusion to improve performance of emotion-classifiers. Written by several experts, the book includes several tools and techniques, including dynamic Bayesian networks, neural nets, hidden Markov model, rough sets, type-2 fuzzy sets, support vector machines and their applications in emotion recognition by different modalities. The book ends with a discussion on emotion recognition in automotive fields to determine stress and anger of the drivers, responsible for degradation of their performance and driving-ability. There is an increasing demand of emotion recognition in diverse fields, including psycho-therapy, bio-medicine and security in government, public and private agencies. The importance of emotion recognition has been given priority by industries including Hewlett Packard in the design and development of the next generation human-computer interface (HCI) systems. Emotion Recognition: A Pattern Analysis Approach would be of great interest to researchers, graduate students and practitioners, as the book Offers both foundations and advances on emotion recognition in a single volume Provides a thorough and insightful introduction to the subject by utilizing computational tools of diverse domains Inspires young researchers to prepare themselves for their own research Demonstrates direction of future research through new technologies, such as Microsoft Kinect, EEG systems etc.

Printio Neural network Printio Neural network
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Printio Neural network


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712 руб.

Футболка классическая — цвет: БЕЛЫЙ, пол: МУЖ, качество: ЭКОНОМ.

Matthias Distant Speech Recognition Matthias Distant Speech Recognition
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Matthias Distant Speech Recognition


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11668.66 руб.

A complete overview of distant automatic speech recognition The performance of conventional Automatic Speech Recognition (ASR) systems degrades dramatically as soon as the microphone is moved away from the mouth of the speaker. This is due to a broad variety of effects such as background noise, overlapping speech from other speakers, and reverberation. While traditional ASR systems underperform for speech captured with far-field sensors, there are a number of novel techniques within the recognition system as well as techniques developed in other areas of signal processing that can mitigate the deleterious effects of noise and reverberation, as well as separating speech from overlapping speakers. Distant Speech Recognitionpresents a contemporary and comprehensive description of both theoretic abstraction and practical issues inherent in the distant ASR problem. Key Features: Covers the entire topic of distant ASR and offers practical solutions to overcome the problems related to it Provides documentation and sample scripts to enable readers to construct state-of-the-art distant speech recognition systems Gives relevant background information in acoustics and filter techniques, Explains the extraction and enhancement of classification relevant speech features Describes maximum likelihood as well as discriminative parameter estimation, and maximum likelihood normalization techniques Discusses the use of multi-microphone configurations for speaker tracking and channel combination Presents several applications of the methods and technologies described in this book Accompanying website with open source software and tools to construct state-of-the-art distant speech recognition systems This reference will be an invaluable resource for researchers, developers, engineers and other professionals, as well as advanced students in speech technology, signal processing, acoustics, statistics and artificial intelligence fields.

Anton Batliner Computational Paralinguistics. Emotion, Affect and Personality in Speech and Language Processing Anton Batliner Computational Paralinguistics. Emotion, Affect and Personality in Speech and Language Processing
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Anton Batliner Computational Paralinguistics. Emotion, Affect and Personality in Speech and Language Processing


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9973.3 руб.

This book presents the methods, tools and techniques that are currently being used to recognise (automatically) the affect, emotion, personality and everything else beyond linguistics (‘paralinguistics’) expressed by or embedded in human speech and language. It is the first book to provide such a systematic survey of paralinguistics in speech and language processing. The technology described has evolved mainly from automatic speech and speaker recognition and processing, but also takes into account recent developments within speech signal processing, machine intelligence and data mining. Moreover, the book offers a hands-on approach by integrating actual data sets, software, and open-source utilities which will make the book invaluable as a teaching tool and similarly useful for those professionals already in the field. Key features: Provides an integrated presentation of basic research (in phonetics/linguistics and humanities) with state-of-the-art engineering approaches for speech signal processing and machine intelligence. Explains the history and state of the art of all of the sub-fields which contribute to the topic of computational paralinguistics. C overs the signal processing and machine learning aspects of the actual computational modelling of emotion and personality and explains the detection process from corpus collection to feature extraction and from model testing to system integration. Details aspects of real-world system integration including distribution, weakly supervised learning and confidence measures. Outlines machine learning approaches including static, dynamic and context‑sensitive algorithms for classification and regression. Includes a tutorial on freely available toolkits, such as the open-source ‘openEAR’ toolkit for emotion and affect recognition co-developed by one of the authors, and a listing of standard databases and feature sets used in the field to allow for immediate experimentation enabling the reader to build an emotion detection model on an existing corpus.

Rajput Nitendra Speech in Mobile and Pervasive Environments Rajput Nitendra Speech in Mobile and Pervasive Environments
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Rajput Nitendra Speech in Mobile and Pervasive Environments


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11279.71 руб.

This book provides a cross-disciplinary reference to speech in mobile and pervasive environments Speech in Mobile and Pervasive Environments addresses the issues related to speech processing on resource-constrained mobile devices. These include speech recognition in noisy environments, specialised hardware for speech recognition and synthesis, the use of context to enhance recognition and user experience, and the emerging software standards required for interoperability. This book takes a multi-disciplinary look at these matters, while offering an insight into the opportunities and challenges of speech processing in mobile environs. In developing regions, speech-on-mobile is set to play a momentous role, socially and economically; the authors discuss how voice-based solutions and applications offer a compelling and natural solution in this setting. Key Features Provides a holistic overview of all speech technology related topics in the context of mobility Brings together the latest research in a logically connected way in a single volume Covers hardware, embedded recognition and synthesis, distributed speech recognition, software technologies, contextual interfaces Discusses multimodal dialogue systems and their evaluation Introduces speech in mobile and pervasive environments for developing regions This book provides a comprehensive overview for beginners and experts alike. It can be used as a textbook for advanced undergraduate and postgraduate students in electrical engineering and computer science. Students, practitioners or researchers in the areas of mobile computing, speech processing, voice applications, human-computer interfaces, and information and communication technologies will also find this reference insightful. For experts in the above domains, this book complements their strengths. In addition, the book will serve as a guide to practitioners working in telecom-related industries.

Tuomas Virtanen Techniques for Noise Robustness in Automatic Speech Recognition Tuomas Virtanen Techniques for Noise Robustness in Automatic Speech Recognition
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Tuomas Virtanen Techniques for Noise Robustness in Automatic Speech Recognition


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10873.3 руб.

Automatic speech recognition (ASR) systems are finding increasing use in everyday life. Many of the commonplace environments where the systems are used are noisy, for example users calling up a voice search system from a busy cafeteria or a street. This can result in degraded speech recordings and adversely affect the performance of speech recognition systems. As the use of ASR systems increases, knowledge of the state-of-the-art in techniques to deal with such problems becomes critical to system and application engineers and researchers who work with or on ASR technologies. This book presents a comprehensive survey of the state-of-the-art in techniques used to improve the robustness of speech recognition systems to these degrading external influences. Key features: Reviews all the main noise robust ASR approaches, including signal separation, voice activity detection, robust feature extraction, model compensation and adaptation, missing data techniques and recognition of reverberant speech. Acts as a timely exposition of the topic in light of more widespread use in the future of ASR technology in challenging environments. Addresses robustness issues and signal degradation which are both key requirements for practitioners of ASR. Includes contributions from top ASR researchers from leading research units in the field

Keshet Joseph Automatic Speech and Speaker Recognition. Large Margin and Kernel Methods Keshet Joseph Automatic Speech and Speaker Recognition. Large Margin and Kernel Methods
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Keshet Joseph Automatic Speech and Speaker Recognition. Large Margin and Kernel Methods


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11668.66 руб.

This book discusses large margin and kernel methods for speech and speaker recognition Speech and Speaker Recognition: Large Margin and Kernel Methods is a collation of research in the recent advances in large margin and kernel methods, as applied to the field of speech and speaker recognition. It presents theoretical and practical foundations of these methods, from support vector machines to large margin methods for structured learning. It also provides examples of large margin based acoustic modelling for continuous speech recognizers, where the grounds for practical large margin sequence learning are set. Large margin methods for discriminative language modelling and text independent speaker verification are also addressed in this book. Key Features: Provides an up-to-date snapshot of the current state of research in this field Covers important aspects of extending the binary support vector machine to speech and speaker recognition applications Discusses large margin and kernel method algorithms for sequence prediction required for acoustic modeling Reviews past and present work on discriminative training of language models, and describes different large margin algorithms for the application of part-of-speech tagging Surveys recent work on the use of kernel approaches to text-independent speaker verification, and introduces the main concepts and algorithms Surveys recent work on kernel approaches to learning a similarity matrix from data This book will be of interest to researchers, practitioners, engineers, and scientists in speech processing and machine learning fields.

Manjubala Bisi Artificial Neural Network Applications for Software Reliability Prediction Manjubala Bisi Artificial Neural Network Applications for Software Reliability Prediction
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Manjubala Bisi Artificial Neural Network Applications for Software Reliability Prediction


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14623.43 руб.

Artificial neural network (ANN) has proven to be a universal approximator for any non-linear continuous function with arbitrary accuracy. This book presents how to apply ANN to measure various software reliability indicators: number of failures in a given time, time between successive failures, fault-prone modules and development efforts. The application of machine learning algorithm i.e. artificial neural networks application in software reliability prediction during testing phase as well as early phases of software development process is presented as well. Applications of artificial neural network for the above purposes are discussed with experimental results in this book so that practitioners can easily use ANN models for predicting software reliability indicators.

Filo Orna Information Processing by Biochemical Systems. Neural Network-Type Configurations Filo Orna Information Processing by Biochemical Systems. Neural Network-Type Configurations
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Filo Orna Information Processing by Biochemical Systems. Neural Network-Type Configurations


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6686.14 руб.

A Research-Driven Resource on Building Biochemical Systems to Perform Information Processing Functions Information Processing by Biochemical Systems describes fully delineated biochemical systems, organized as neural network–type assemblies. It explains the relationship between these two apparently unrelated fields, revealing how biochemical systems have the advantage of using the «language» of the physiological processes and, therefore, can be organized into the neural network–type assemblies, much in the way that natural biosystems are. A wealth of information is included concerning both the experimental aspects (such as materials and equipment used) and the computational procedures involved. This authoritative reference: Addresses network-type connectivity, considered to be a key feature underlying the information processing ability of the brain Describes novel scientific achievements, and serves as an aid for those interested in further developing biochemical systems that will perform information-processing functions Provides a viable approach for furthering progress in the area of molecular electronics and biocomputing Includes results obtained in experimental studies involving a variety of real enzyme systems Information Processing by Biochemical Systems is intended for graduate students and professionals, as well as biotechnologists.

Disner Sandra Ferrari Vowels and Consonants Disner Sandra Ferrari Vowels and Consonants
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Disner Sandra Ferrari Vowels and Consonants


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4119.04 руб.

This popular and accessible introduction to phonetics has been fully updated for its third edition, and now includes an accompanying website with sound files, and expanded coverage of topics such as speech technology. Describes how languages use a variety of different sounds, many of them quite unlike any that occur in well-known languages Written by the late Peter Ladefoged, one of the world's leading phoneticians, with updates by renowned forensic linguist, Sandra Ferrari Disner Includes numerous revisions to the discussion of speech technology and additional updates throughout the book Explores the acoustic, articulatory, and perceptual components of speech, demonstrates speech synthesis, and explains how speech recognition systems work Supported by an accompanying website at www.vowelsandconsonants3e.com featuring additional data and recordings of the sounds of a wide variety of languages, to reinforce learning and bring the descriptions to life

Ville Pulkki Communication Acoustics. An Introduction to Speech, Audio and Psychoacoustics Ville Pulkki Communication Acoustics. An Introduction to Speech, Audio and Psychoacoustics
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Ville Pulkki Communication Acoustics. An Introduction to Speech, Audio and Psychoacoustics


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8248.71 руб.

In communication acoustics, the communication channel consists of a sound source, a channel (acoustic and/or electric) and finally the receiver: the human auditory system, a complex and intricate system that shapes the way sound is heard. Thus, when developing techniques in communication acoustics, such as in speech, audio and aided hearing, it is important to understand the time–frequency–space resolution of hearing. This book facilitates the reader’s understanding and development of speech and audio techniques based on our knowledge of the auditory perceptual mechanisms by introducing the physical, signal-processing and psychophysical background to communication acoustics. It then provides a detailed explanation of sound technologies where a human listener is involved, including audio and speech techniques, sound quality measurement, hearing aids and audiology. Key features: Explains perceptually-based audio: the authors take a detailed but accessible engineering perspective on sound and hearing with a focus on the human place in the audio communications signal chain, from psychoacoustics and audiology to optimizing digital signal processing for human listening. Presents a wide overview of speech, from the human production of speech sounds and basics of phonetics to major speech technologies, recognition and synthesis of speech and methods for speech quality evaluation. Includes MATLAB examples that serve as an excellent basis for the reader’s own investigations into communication acoustics interaction schemes which intuitively combine touch, vision and voice for lifelike interactions.

Caroline Bowen Children's Speech Sound Disorders Caroline Bowen Children's Speech Sound Disorders
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Caroline Bowen Children's Speech Sound Disorders


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5848.95 руб.

Speaking directly to experienced and novice clinicians, educators and students in speech-language pathology/speech and language therapy via an informative essay-based approach, Children’s Speech Sound Disorders provides concise, easy-to-understand explanations of key aspects of the classification, assessment, diagnosis and treatment of articulation disorders, phonological disorders and childhood apraxia of speech. It also includes a range of searching questions to international experts on their work in the child speech field. This new edition of Children’s Speech Sound Disorders is meticulously updated and expanded. It includes new material on Apps, assessing and treating two-year-olds, children acquiring languages other than English and working with multilingual children, communities of practice in communication sciences and disorders, distinguishing delay from disorder, linguistic sciences, counselling and managing difficult behaviour, and the neural underpinnings of and new approaches to treating CAS. This bestselling guide includes: Case vignettes and real-world examples to place topics in context Expert essays by sixty distinguished contributors A companion website for instructors at www.wiley.com/go/bowen/speechlanguagetherapy and a range of supporting materials on the author’s own site at speech-language-therapy.com Drawing on a range of theoretical, research and clinical perspectives and emphasising quality client care and evidence-based practice, Children’s Speech Sound Disorders is a comprehensive collection of clinical nuggets, hands-on strategies, and inspiration.

Webb Andrew R. Statistical Pattern Recognition Webb Andrew R. Statistical Pattern Recognition
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Webb Andrew R. Statistical Pattern Recognition


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11746.45 руб.

Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions. It is a very active area of study and research, which has seen many advances in recent years. Applications such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwriting recognition, all require robust and efficient pattern recognition techniques. This third edition provides an introduction to statistical pattern theory and techniques, with material drawn from a wide range of fields, including the areas of engineering, statistics, computer science and the social sciences. The book has been updated to cover new methods and applications, and includes a wide range of techniques such as Bayesian methods, neural networks, support vector machines, feature selection and feature reduction techniques.Technical descriptions and motivations are provided, and the techniques are illustrated using real examples. Statistical Pattern Recognition, 3rd Edition: Provides a self-contained introduction to statistical pattern recognition. Includes new material presenting the analysis of complex networks. Introduces readers to methods for Bayesian density estimation. Presents descriptions of new applications in biometrics, security, finance and condition monitoring. Provides descriptions and guidance for implementing techniques, which will be invaluable to software engineers and developers seeking to develop real applications Describes mathematically the range of statistical pattern recognition techniques. Presents a variety of exercises including more extensive computer projects. The in-depth technical descriptions make the book suitable for senior undergraduate and graduate students in statistics, computer science and engineering. Statistical Pattern Recognition is also an excellent reference source for technical professionals. Chapters have been arranged to facilitate implementation of the techniques by software engineers and developers in non-statistical engineering fields. www.wiley.com/go/statistical_pattern_recognition

Akira Hirose Complex-Valued Neural Networks. Advances and Applications Akira Hirose Complex-Valued Neural Networks. Advances and Applications
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Akira Hirose Complex-Valued Neural Networks. Advances and Applications


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10346.21 руб.

Presents the latest advances in complex-valued neural networks by demonstrating the theory in a wide range of applications Complex-valued neural networks is a rapidly developing neural network framework that utilizes complex arithmetic, exhibiting specific characteristics in its learning, self-organizing, and processing dynamics. They are highly suitable for processing complex amplitude, composed of amplitude and phase, which is one of the core concepts in physical systems to deal with electromagnetic, light, sonic/ultrasonic waves as well as quantum waves, namely, electron and superconducting waves. This fact is a critical advantage in practical applications in diverse fields of engineering, where signals are routinely analyzed and processed in time/space, frequency, and phase domains. Complex-Valued Neural Networks: Advances and Applications covers cutting-edge topics and applications surrounding this timely subject. Demonstrating advanced theories with a wide range of applications, including communication systems, image processing systems, and brain-computer interfaces, this text offers comprehensive coverage of: Conventional complex-valued neural networks Quaternionic neural networks Clifford-algebraic neural networks Presented by international experts in the field, Complex-Valued Neural Networks: Advances and Applications is ideal for advanced-level computational intelligence theorists, electromagnetic theorists, and mathematicians interested in computational intelligence, artificial intelligence, machine learning theories, and algorithms.

Johannes Stahl Single Channel Phase-Aware Signal Processing in Speech Communication. Theory and Practice Johannes Stahl Single Channel Phase-Aware Signal Processing in Speech Communication. Theory and Practice
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Johannes Stahl Single Channel Phase-Aware Signal Processing in Speech Communication. Theory and Practice


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7735.04 руб.

An overview on the challenging new topic of phase-aware signal processing Speech communication technology is a key factor in human-machine interaction, digital hearing aids, mobile telephony, and automatic speech/speaker recognition. With the proliferation of these applications, there is a growing requirement for advanced methodologies that can push the limits of the conventional solutions relying on processing the signal magnitude spectrum. Single-Channel Phase-Aware Signal Processing in Speech Communication provides a comprehensive guide to phase signal processing and reviews the history of phase importance in the literature, basic problems in phase processing, fundamentals of phase estimation together with several applications to demonstrate the usefulness of phase processing. Key features: Analysis of recent advances demonstrating the positive impact of phase-based processing in pushing the limits of conventional methods. Offers unique coverage of the historical context, fundamentals of phase processing and provides several examples in speech communication. Provides a detailed review of many references and discusses the existing signal processing techniques required to deal with phase information in different applications involved with speech. The book supplies various examples and MATLAB® implementations delivered within the PhaseLab toolbox. Single-Channel Phase-Aware Signal Processing in Speech Communication is a valuable single-source for students, non-expert DSP engineers, academics and graduate students.

Perfeo Speech Black Perfeo Speech Black
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Perfeo Speech Black


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194 руб.

Navjot Kaur Neural Stem Cell Assays Navjot Kaur Neural Stem Cell Assays
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Navjot Kaur Neural Stem Cell Assays


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11619.63 руб.

Neural stem cells offer a valuable model system for delineating the cellular and developmental processes in normal and diseased states of the central nervous system. In particular, neural stem cells have huge potential in regenerative medicine, owing to their expansion capability in culture and the ability to differentiate into multiple sub-neural lineages. Neural Stem Cell Assays provides a detailed and comprehensive review of the basic methods for neural stem cell cultures. Including an overview of progress in the field over the past decade, Neural Stem Cell Assays is a one-stop reference for consistent methods and reliable tools that span the entire assay work flow, from isolation or generation of neural stem cells to characterization, manipulation and final application of neural stem cells in disease paradigms such as Parkinson's disease, multiple sclerosis and amyotrophic lateral sclerosis. An excellent source of information for academic, pharmaceutical and biotechnology researchers who are new to the neural stem cell field, Neural Stem Cell Assays is an invaluable to experienced users who wish to integrate newly developed tools and technologies into their workflow. The book also covers important course material for students at the undergraduate and graduate level who are learning the basics of neural stem cell cultures, and differentiation to sub-neural lineages.

the Speech Resource Company Historic Moments in Speech: Foreign Leaders the Speech Resource Company Historic Moments in Speech: Foreign Leaders
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the Speech Resource Company Historic Moments in Speech: Foreign Leaders


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1907.79 руб.

Greg Milette Professional Android Sensor Programming Greg Milette Professional Android Sensor Programming
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Greg Milette Professional Android Sensor Programming


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3240.65 руб.

Learn to build human-interactive Android apps, starting with device sensors This book shows Android developers how to exploit the rich set of device sensors—locational, physical (temperature, pressure, light, acceleration, etc.), cameras, microphones, and speech recognition—in order to build fully human-interactive Android applications. Whether providing hands-free directions or checking your blood pressure, Professional Android Sensor Programming shows how to turn possibility into reality. The authors provide techniques that bridge the gap between accessing sensors and putting them to meaningful use in real-world situations. They not only show you how to use the sensor related APIs effectively, they also describe how to use supporting Android OS components to build complete systems. Along the way, they provide solutions to problems that commonly occur when using Android's sensors, with tested, real-world examples. Ultimately, this invaluable resource provides in-depth, runnable code examples that you can then adapt for your own applications. Shows experienced Android developers how to exploit the rich set of Android smartphone sensors to build human-interactive Android apps Explores Android locational and physical sensors (including temperature, pressure, light, acceleration, etc.), as well as cameras, microphones, and speech recognition Helps programmers use the Android sensor APIs, use Android OS components to build complete systems, and solve common problems Includes detailed, functional code that you can adapt and use for your own applications Shows you how to successfully implement real-world solutions using each class of sensors for determining location, interpreting physical sensors, handling images and audio, and recognizing and acting on speech Learn how to write programs for this fascinating aspect of mobile app development with Professional Android Sensor Programming.

the Speech Resource Company Historic Moments in Speech: Military Conflicts the Speech Resource Company Historic Moments in Speech: Military Conflicts
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the Speech Resource Company Historic Moments in Speech: Military Conflicts


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1907.79 руб.

Soul Electronics Emotion 2 Pink Soul Electronics Emotion 2 Pink
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Soul Electronics Emotion 2 Pink


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3888 руб.

Крышка для винилового проигрывателя Clearaudio Emotion SE Крышка для винилового проигрывателя Clearaudio Emotion SE
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Крышка для винилового проигрывателя Clearaudio Emotion SE


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17040 руб.

Пылезащитная крышка для стола Emotion SE, габариты: 430х350х143 мм

Наушники Soul Emotion black Наушники Soul Emotion black
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Наушники Soul Emotion black


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3990 руб.

Mourad Elloumi Pattern Recognition in Computational Molecular Biology. Techniques and Approaches Mourad Elloumi Pattern Recognition in Computational Molecular Biology. Techniques and Approaches
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Mourad Elloumi Pattern Recognition in Computational Molecular Biology. Techniques and Approaches


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10498.36 руб.

A comprehensive overview of high-performance pattern recognition techniques and approaches to Computational Molecular Biology This book surveys the developments of techniques and approaches on pattern recognition related to Computational Molecular Biology. Providing a broad coverage of the field, the authors cover fundamental and technical information on these techniques and approaches, as well as discussing their related problems. The text consists of twenty nine chapters, organized into seven parts: Pattern Recognition in Sequences, Pattern Recognition in Secondary Structures, Pattern Recognition in Tertiary Structures, Pattern Recognition in Quaternary Structures, Pattern Recognition in Microarrays, Pattern Recognition in Phylogenetic Trees, and Pattern Recognition in Biological Networks. Surveys the development of techniques and approaches on pattern recognition in biomolecular data Discusses pattern recognition in primary, secondary, tertiary and quaternary structures, as well as microarrays, phylogenetic trees and biological networks Includes case studies and examples to further illustrate the concepts discussed in the book Pattern Recognition in Computational Molecular Biology: Techniques and Approaches is a reference for practitioners and professional researches in Computer Science, Life Science, and Mathematics. This book also serves as a supplementary reading for graduate students and young researches interested in Computational Molecular Biology.


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Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions. It is a very active area of study and research, which has seen many advances in recent years. Applications such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwriting recognition, all require robust and efficient pattern recognition techniques. This third edition provides an introduction to statistical pattern theory and techniques, with material drawn from a wide range of fields, including the areas of engineering, statistics, computer science and the social sciences. The book has been updated to cover new methods and applications, and includes a wide range of techniques such as Bayesian methods, neural networks, support vector machines, feature selection and feature reduction techniques.Technical descriptions and motivations are provided, and the techniques are illustrated using real examples. Statistical Pattern Recognition, 3rd Edition: Provides a self-contained introduction to statistical pattern recognition. Includes new material presenting the analysis of complex networks. Introduces readers to methods for Bayesian density estimation. Presents descriptions of new applications in biometrics, security, finance and condition monitoring. Provides descriptions and guidance for implementing techniques, which will be invaluable to software engineers and developers seeking to develop real applications Describes mathematically the range of statistical pattern recognition techniques. Presents a variety of exercises including more extensive computer projects. The in-depth technical descriptions make the book suitable for senior undergraduate and graduate students in statistics, computer science and engineering. Statistical Pattern Recognition is also an excellent reference source for technical professionals. Chapters have been arranged to facilitate implementation of the techniques by software engineers and developers in non-statistical engineering fields. www.wiley.com/go/statistical_pattern_recognition
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