Applied Speech Processing

Applied Speech Processing Book PDF
✏Book Title : Applied Speech Processing
✏Author : Nilanjan Dey
✏Publisher : Academic Press
✏Release Date : 2021-02-12
✏Pages : 150
✏ISBN : 0128238984
✏Available Language : English, Spanish, And French

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✏Applied Speech Processing Book Summary : Applied Speech Processing: Algorithms and Case Studies is concerned with supporting and enhancing the utilization of speech analytics in several systems and real-world activities, including sharing data analytics related information, creating collaboration networks between several participants, and the use of video-conferencing in different application areas. The book provides a well-standing forum to discuss the characteristics of the intelligent speech signal processing systems in different domains. The book is proposed for professionals, scientists, and engineers who are involved in new techniques of intelligent speech signal processing methods and systems. It provides an outstanding foundation for undergraduate and post-graduate students as well. Includes basics of speech data analysis and management tools with several applications, highlighting recording systems Covers different techniques of big data and Internet-of-Things in speech signal processing, including machine learning and data mining Offers a multidisciplinary view of current and future challenges in this field, with extensive case studies on the design, implementation, development and management of intelligent systems, neural networks, and related machine learning techniques for speech signal processing

Applied Speech And Audio Processing Book PDF
✏Book Title : Applied Speech and Audio Processing
✏Author : Ian McLoughlin
✏Publisher : Cambridge University Press
✏Release Date : 2009-02-19
✏Pages : 206
✏ISBN : 9780521519540
✏Available Language : English, Spanish, And French

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✏Applied Speech and Audio Processing Book Summary : This hands-on, one-stop resource describes the key techniques of speech and audio processing illustrated with extensive MATLAB examples.

📒Applied Signal Processing ✍ Thierry Dutoit

Applied Signal Processing Book PDF
✏Book Title : Applied Signal Processing
✏Author : Thierry Dutoit
✏Publisher : Springer Science & Business Media
✏Release Date : 2010-06-10
✏Pages : 456
✏ISBN : 0387745351
✏Available Language : English, Spanish, And French

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✏Applied Signal Processing Book Summary : Applied Signal Processing: A MATLAB-Based Proof of Concept benefits readers by including the teaching background of experts in various applied signal processing fields and presenting them in a project-oriented framework. Unlike many other MATLAB-based textbooks which only use MATLAB to illustrate theoretical aspects, this book provides fully commented MATLAB code for working proofs-of-concept. The MATLAB code provided on the accompanying online files is the very heart of the material. In addition each chapter offers a functional introduction to the theory required to understand the code as well as a formatted presentation of the contents and outputs of the MATLAB code. Each chapter exposes how digital signal processing is applied for solving a real engineering problem used in a consumer product. The chapters are organized with a description of the problem in its applicative context and a functional review of the theory related to its solution appearing first. Equations are only used for a precise description of the problem and its final solutions. Then a step-by-step MATLAB-based proof of concept, with full code, graphs, and comments follows. The solutions are simple enough for readers with general signal processing background to understand and they use state-of-the-art signal processing principles. Applied Signal Processing: A MATLAB-Based Proof of Concept is an ideal companion for most signal processing course books. It can be used for preparing student labs and projects.

Audio Processing And Speech Recognition Book PDF
✏Book Title : Audio Processing and Speech Recognition
✏Author : Soumya Sen
✏Publisher : Springer
✏Release Date : 2019-01-30
✏Pages : 96
✏ISBN : 9789811360985
✏Available Language : English, Spanish, And French

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✏Audio Processing and Speech Recognition Book Summary : This book offers an overview of audio processing, including the latest advances in the methodologies used in audio processing and speech recognition. First, it discusses the importance of audio indexing and classical information retrieval problem and presents two major indexing techniques, namely Large Vocabulary Continuous Speech Recognition (LVCSR) and Phonetic Search. It then offers brief insights into the human speech production system and its modeling, which are required to produce artificial speech. It also discusses various components of an automatic speech recognition (ASR) system. Describing the chronological developments in ASR systems, and briefly examining the statistical models used in ASR as well as the related mathematical deductions, the book summarizes a number of state-of-the-art classification techniques and their application in audio/speech classification. By providing insights into various aspects of audio/speech processing and speech recognition, this book appeals a wide audience, from researchers and postgraduate students to those new to the field.

📒Digital Speech Processing ✍ A. Nejat Ince

Digital Speech Processing Book PDF
✏Book Title : Digital Speech Processing
✏Author : A. Nejat Ince
✏Publisher : Springer Science & Business Media
✏Release Date : 1991-10-31
✏Pages : 242
✏ISBN : 0792392205
✏Available Language : English, Spanish, And French

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✏Digital Speech Processing Book Summary : After alm ost three scores of years of basic and applied research, the field of speech processing is, at present, undergoing a rapid growth in terms of both performance and applications and this is fueHed by the advances being made in the areas of microelectronics, computation and algorithm design.Speech processing relates to three aspects of voice communications: -Speech Coding and transmission which is mainly concerned with man-to man voice communication. -Speech Synthesis which deals with machine-to-man communication. -Speech Recognition which is related to man-to-machine communication. Widespread application and use of low-bit rate voice codec.>, synthesizers and recognizers which are all speech processing products requires ideaHy internationally accepted quality assessment and evaluation methods as weH as speech processing standards so that they may be interconnected and used independently of their designers and manufacturers without costly interfaces. This book presents, in a tutorial manner, both fundamental and applied aspects of the above topics which have been prepared by weH-known specialists in their respective areas. The book is based on lectures which were sponsored by AGARD/NATO and delivered by the authors, in several NATO countries, to audiences consisting mainly of academic and industrial R&D engineers and physicists as weH as civil and military C3I systems planners and designers.

📒Deep Learning Applied To Speech Synthesis ✍ Santiago Pascual de la Puente

Deep Learning Applied To Speech Synthesis Book PDF
✏Book Title : Deep Learning Applied to Speech Synthesis
✏Author : Santiago Pascual de la Puente
✏Publisher :
✏Release Date : 2016
✏Pages :
✏ISBN : OCLC:1120680445
✏Available Language : English, Spanish, And French

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✏Deep Learning Applied to Speech Synthesis Book Summary : Deep Learning has been applied successfully to speech processing problems. In this work we explore its capabilities, focusing concretely in recurrent neural architectures to build a state of the art Text-To-Speech system from scratch. The different steps to make the full TTS system are shown. Also, a post-filtering method to improve the generated speech naturalness is applied and evaluated. The objective results show which architecture fits better our problem, achieving low error rates in term of cepstral distortion, pitch estimation error and voiced/unvoiced classification error. Also, subjective results suggest that the model achieves a state of the art quality in the synthesis, where the post-filtering factor seems to be a key component to get a good level of naturalness. A novel architecture called Multi-Output TTS is also proposed to hold multiple speakers inside the same structure. Some hidden layers are shared by all the speakers, while there is a specific output layer for each speaker. Objective and perceptual experiments prove that this scheme produces much better results in comparison with single speaker models. Moreover, we also tackle the problem of speaker adaptation by adding a new output branch to the model and successfully training it without the need of modifying the base optimized model. This fine tuning method achieves better results than training the new speaker from scratch with its own model. Finally, we also tackle the problem of speaker interpolation by adding a new output layer (alpha-layer) on top of the Multi-Output branches. An identifying code is injected into the layer together with acoustic features of many speakers. Experiments show that the alpha-layer can effectively learn to interpolate the acoustic features between speakers.

Applied Signal Processing Book PDF
✏Book Title : Applied Signal Processing
✏Author : Nadder Hamdy
✏Publisher : CRC Press
✏Release Date : 2008-07-25
✏Pages : 554
✏ISBN : 9781420067033
✏Available Language : English, Spanish, And French

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✏Applied Signal Processing Book Summary : Classical signal processing techniques are based primarily on the analog nature of all signals. However, the continuously improving performance of digital circuitry and processors has prompted a switch to digital signal processing techniques rather than the traditional analog ones. Applied Signal Processing recognizes the linkage between the two paradigms and presents a unified treatment of both subjects (analog and digital signal processing) in one authoritative volume. It introduces underlying principles, basic concepts, and definitions as well as classic and contemporary designs of signal processing systems. The author includes a detailed description of data converters, an interface between the real world of analog signals and the artificial world of digital signals. He provides a concise presentation of topics by limiting the number of complex equations and using lucid language. Numerous real-world application examples are featured within each chapter including architectures from Texas Instruments, Motorola, and Analog Devices. With its compounded coverage of both analog and digital signal processing techniques, this book provides engineers with the knowledge they need to understand the analog basis of modern digital signal processing techniques and construct architectures for modern systems.

Deep Learning For Nlp And Speech Recognition Book PDF
✏Book Title : Deep Learning for NLP and Speech Recognition
✏Author : Uday Kamath
✏Publisher : Springer
✏Release Date : 2019-06-10
✏Pages : 621
✏ISBN : 9783030145965
✏Available Language : English, Spanish, And French

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✏Deep Learning for NLP and Speech Recognition Book Summary : 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.

📒Applied Pattern Recognition ✍ Dietrich W.R. Paulus

Applied Pattern Recognition Book PDF
✏Book Title : Applied Pattern Recognition
✏Author : Dietrich W.R. Paulus
✏Publisher : Springer
✏Release Date : 1998
✏Pages : 405
✏ISBN : UOM:39015049512034
✏Available Language : English, Spanish, And French

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✏Applied Pattern Recognition Book Summary : This book demonstrates the efficiency of the C++ programming language in the realm of pattern recognition and pattern analysis. It introduces the basics of software engineering, image and speech processing, als well as fundamental mathematical tools for pattern recognition. Step by step the C++ programming language is discribed. Each step is illustrated by examples based on challenging problems in image und speech processing. Particular emphasis is put on object-oriented programming and the implementation of efficient algorithms. The book proposes a general class hierarchy for image segmentation. The essential parts of an implementation are presented. An object-oriented system for speech classification based on stochastic models is described.

📒Applied Speech Technology ✍ Ann K. Syrdal

Applied Speech Technology Book PDF
✏Book Title : Applied Speech Technology
✏Author : Ann K. Syrdal
✏Publisher : CRC Press
✏Release Date : 1994-10-18
✏Pages : 656
✏ISBN : 0849394562
✏Available Language : English, Spanish, And French

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✏Applied Speech Technology Book Summary : Written by the world's top experts in the field, this multidisciplinary book explores all phases of speech technology. Topics covered include: Conversion of computerized (keyboarded) text into synthesized speech, aimed at developing "talking computers" Development of automatic speech recognition, allowing electronic devices to process verbal commands Speech training and the use of synthesized speech for the hearing- and speech-impaired In-depth discussions of specific speech technologies are included, as well as a treatment of the issues and challenges of human-computer interfaces. Oriented toward state-of-the-art applications, the book emphasizes the practical utilization of emerging technologies and includes numerous case studies.

Applied Neural Networks For Signal Processing Book PDF
✏Book Title : Applied Neural Networks for Signal Processing
✏Author : Fa-Long Luo
✏Publisher : Cambridge University Press
✏Release Date : 1998
✏Pages : 367
✏ISBN : 0521644003
✏Available Language : English, Spanish, And French

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✏Applied Neural Networks for Signal Processing Book Summary : A comprehensive introduction to the use of neural networks in signal processing.

Springer Handbook Of Speech Processing Book PDF
✏Book Title : Springer Handbook of Speech Processing
✏Author : Jacob Benesty
✏Publisher : Springer Science & Business Media
✏Release Date : 2007-11-28
✏Pages : 1176
✏ISBN : 9783540491255
✏Available Language : English, Spanish, And French

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✏Springer Handbook of Speech Processing Book Summary : This handbook plays a fundamental role in sustainable progress in speech research and development. With an accessible format and with accompanying DVD-Rom, it targets three categories of readers: graduate students, professors and active researchers in academia, and engineers in industry who need to understand or implement some specific algorithms for their speech-related products. It is a superb source of application-oriented, authoritative and comprehensive information about these technologies, this work combines the established knowledge derived from research in such fast evolving disciplines as Signal Processing and Communications, Acoustics, Computer Science and Linguistics.

Advances In Nonlinear Speech Processing Book PDF
✏Book Title : Advances in Nonlinear Speech Processing
✏Author : Mohamed Chetouani
✏Publisher : Springer Science & Business Media
✏Release Date : 2008-01-11
✏Pages : 288
✏ISBN : 9783540773467
✏Available Language : English, Spanish, And French

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✏Advances in Nonlinear Speech Processing Book Summary : This intriguing book constitutes the thoroughly refereed postproceedings of the International Conference on Non-Linear Speech Processing, NOLISP 2007, held in Paris, France, in May 2007. The 24 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on nonlinear and non-conventional techniques, speech synthesis, speaker recognition, speech recognition, and many other subjects.

Numerical Bayesian Methods Applied To Signal Processing Book PDF
✏Book Title : Numerical Bayesian Methods Applied to Signal Processing
✏Author : Joseph J.K. O Ruanaidh
✏Publisher : Springer Science & Business Media
✏Release Date : 2012-12-06
✏Pages : 244
✏ISBN : 9781461207177
✏Available Language : English, Spanish, And French

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✏Numerical Bayesian Methods Applied to Signal Processing Book Summary : This book is concerned with the processing of signals that have been sam pled and digitized. The fundamental theory behind Digital Signal Process ing has been in existence for decades and has extensive applications to the fields of speech and data communications, biomedical engineering, acous tics, sonar, radar, seismology, oil exploration, instrumentation and audio signal processing to name but a few [87]. The term "Digital Signal Processing", in its broadest sense, could apply to any operation carried out on a finite set of measurements for whatever purpose. A book on signal processing would usually contain detailed de scriptions of the standard mathematical machinery often used to describe signals. It would also motivate an approach to real world problems based on concepts and results developed in linear systems theory, that make use of some rather interesting properties of the time and frequency domain representations of signals. While this book assumes some familiarity with traditional methods the emphasis is altogether quite different. The aim is to describe general methods for carrying out optimal signal processing.

Corpus Based Methods In Language And Speech Processing Book PDF
✏Book Title : Corpus Based Methods in Language and Speech Processing
✏Author : Steve Young
✏Publisher : Springer Science & Business Media
✏Release Date : 2013-03-14
✏Pages : 235
✏ISBN : 9789401711838
✏Available Language : English, Spanish, And French

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✏Corpus Based Methods in Language and Speech Processing Book Summary : Corpus-based methods will be found at the heart of many language and speech processing systems. This book provides an in-depth introduction to these technologies through chapters describing basic statistical modeling techniques for language and speech, the use of Hidden Markov Models in continuous speech recognition, the development of dialogue systems, part-of-speech tagging and partial parsing, data-oriented parsing and n-gram language modeling. The book attempts to give both a clear overview of the main technologies used in language and speech processing, along with sufficient mathematics to understand the underlying principles. There is also an extensive bibliography to enable topics of interest to be pursued further. Overall, we believe that the book will give newcomers a solid introduction to the field and it will give existing practitioners a concise review of the principal technologies used in state-of-the-art language and speech processing systems. Corpus-Based Methods in Language and Speech Processing is an initiative of ELSNET, the European Network in Language and Speech. In its activities, ELSNET attaches great importance to the integration of language and speech, both in research and in education. The need for and the potential of this integration are well demonstrated by this publication.

Pattern Recognition In Speech And Language Processing Book PDF
✏Book Title : Pattern Recognition in Speech and Language Processing
✏Author : Wu Chou
✏Publisher : CRC Press
✏Release Date : 2003-02-26
✏Pages : 416
✏ISBN : 0203010523
✏Available Language : English, Spanish, And French

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✏Pattern Recognition in Speech and Language Processing Book Summary : Over the last 20 years, approaches to designing speech and language processing algorithms have moved from methods based on linguistics and speech science to data-driven pattern recognition techniques. These techniques have been the focus of intense, fast-moving research and have contributed to significant advances in this field. Pattern Recognition in Speech and Language Processing offers a systematic, up-to-date presentation of these recent developments. It begins with the fundamentals and recent theoretical advances in pattern recognition, with emphasis on classifier design criteria and optimization procedures. The focus then shifts to the application of these techniques to speech processing, with chapters exploring advances in applying pattern recognition to real speech and audio processing systems. The final section of the book examines topics related to pattern recognition in language processing: topics that represent promising new trends with direct impact on information processing systems for the Web, broadcast news, and other content-rich information resources. Each self-contained chapter includes figures, tables, diagrams, and references. The collective effort of experts at the forefront of the field, Pattern Recognition in Speech and Language Processing offers in-depth, insightful discussions on new developments and contains a wealth of information integral to the further development of human-machine communications.

Statistical Methods For Speech Recognition Book PDF
✏Book Title : Statistical Methods for Speech Recognition
✏Author : Frederick Jelinek
✏Publisher : MIT Press
✏Release Date : 1997
✏Pages : 283
✏ISBN : 0262100665
✏Available Language : English, Spanish, And French

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✏Statistical Methods for Speech Recognition Book Summary : This book reflects decades of important research on the mathematical foundations of speech recognition. It focuses on underlying statistical techniques such as hidden Markov models, decision trees, the expectation-maximization algorithm, information theoretic goodness criteria, maximum entropy probability estimation, parameter and data clustering, and smoothing of probability distributions. The author's goal is to present these principles clearly in the simplest setting, to show the advantages of self-organization from real data, and to enable the reader to apply the techniques.

Automatic Speech Recognition Book PDF
✏Book Title : Automatic Speech Recognition
✏Author : Dong Yu
✏Publisher : Springer
✏Release Date : 2014-11-11
✏Pages : 321
✏ISBN : 9781447157793
✏Available Language : English, Spanish, And French

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✏Automatic Speech Recognition Book Summary : 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.

📒Applied Signal Processing ✍ International Association of Science and Technology for Development

Applied Signal Processing Book PDF
✏Book Title : Applied Signal Processing
✏Author : International Association of Science and Technology for Development
✏Publisher : Anaheim, Calif. ; Calgary : ACTA Press
✏Release Date : 1985
✏Pages : 356
✏ISBN : STANFORD:36105030641364
✏Available Language : English, Spanish, And French

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✏Applied Signal Processing Book Summary :

Intelligent Speech Signal Processing Book PDF
✏Book Title : Intelligent Speech Signal Processing
✏Author : Nilanjan Dey
✏Publisher : Academic Press
✏Release Date : 2019-06-15
✏Pages : 250
✏ISBN : 9780128181300
✏Available Language : English, Spanish, And French

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✏Intelligent Speech Signal Processing Book Summary : Intelligent Speech Signal Processing investigates the utilization of speech analytics across several systems and real-world activities, including sharing data analytics related information, creating collaboration networks between several participants, and implementing video-conferencing in different application areas. It provides a forum for readers to discover the characteristics of intelligent speech signal processing systems across different domains. Chapters focus on the latest applications of speech data analysis and management tools across different recording systems. The book emphasizes the multi-disciplinary nature of the field, presenting different applications and challenges with extensive studies on the design, implementation, development, and management of intelligent systems, neural networks, and related machine learning techniques for speech signal processing. Highlights different data analytics techniques in speech signal processing, including machine learning, and data mining Illustrates different applications and challenges across the design, implementation, and management of intelligent systems and neural networks techniques for speech signal processing Includes coverage of biomodal speech recognition, voice activity detection, spoken language and speech disorder identification, automatic speech to speech summarization, and convolutional neural networks

📒Readings In Speech Recognition ✍ Alexander Waibel

Readings In Speech Recognition Book PDF
✏Book Title : Readings in Speech Recognition
✏Author : Alexander Waibel
✏Publisher : Morgan Kaufmann
✏Release Date : 1990-05-15
✏Pages : 629
✏ISBN : 1558601244
✏Available Language : English, Spanish, And French

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✏Readings in Speech Recognition Book Summary : Speech recognition by machine : a review / D.R. Reddy -- The value of speech recognition systems / W.A. Lea -- Digital representations of speech signals / R.W. Schafer and L.R. Rabiner -- Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences / S.B. Davis and P. Mermelstein -- Vector quantization / R.M. Gray -- A joint synchrony-mean-rate model of auditory speech processing / S. Seneff -- Isolated and connected word recognition : theory and selected applications / L.R. Rabiner and S.E. Levinson -- Minimum prediction residual principle applied to speech recognition / F. Itakura -- Dynamic programming algorithm optimization for spoken word recognition / S. Hakoe and S. Chiba -- Speaker-independent recognition of isolated words using clustering techniques / L.R. Rabiner [and others]Two-level DP-matching : a dynamic programming-based pattern matching algorithm for connected word recognition / H. Sakoe -- The use of a one-stage dynamic pr ...

Nonlinear Analyses And Algorithms For Speech Processing Book PDF
✏Book Title : Nonlinear Analyses and Algorithms for Speech Processing
✏Author : Marcos Faundez-Zanuy
✏Publisher : Springer Science & Business Media
✏Release Date : 2005
✏Pages : 380
✏ISBN : 3540312579
✏Available Language : English, Spanish, And French

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✏Nonlinear Analyses and Algorithms for Speech Processing Book Summary : Refereed postproceedings of the International Conference on Non-Linear Speech Processing, NOLISP 2005. The 30 revised full papers presented together with one keynote speech and 2 invited talks were carefully reviewed and selected from numerous submissions for inclusion in the book. The papers are organized in topical sections on speaker recognition, speech analysis, voice pathologies, speech recognition, speech enhancement, and applications.

Crowdsourcing For Speech Processing Book PDF
✏Book Title : Crowdsourcing for Speech Processing
✏Author : Maxine Eskenazi
✏Publisher : John Wiley & Sons
✏Release Date : 2013-02-15
✏Pages : 360
✏ISBN : 9781118541258
✏Available Language : English, Spanish, And French

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✏Crowdsourcing for Speech Processing Book Summary : Provides an insightful and practical introduction to crowdsourcing as a means of rapidly processing speech data Intended for those who want to get started in the domain and learn how to set up a task, what interfaces are available, how to assess the work, etc. as well as for those who already have used crowdsourcing and want to create better tasks and obtain better assessments of the work of the crowd. It will include screenshots to show examples of good and poor interfaces; examples of case studies in speech processing tasks, going through the task creation process, reviewing options in the interface, in the choice of medium (MTurk or other) and explaining choices, etc. Provides an insightful and practical introduction to crowdsourcing as a means of rapidly processing speech data. Addresses important aspects of this new technique that should be mastered before attempting a crowdsourcing application. Offers speech researchers the hope that they can spend much less time dealing with the data gathering/annotation bottleneck, leaving them to focus on the scientific issues. Readers will directly benefit from the book’s successful examples of how crowd- sourcing was implemented for speech processing, discussions of interface and processing choices that worked and choices that didn’t, and guidelines on how to play and record speech over the internet, how to design tasks, and how to assess workers. Essential reading for researchers and practitioners in speech research groups involved in speech processing

Digital Speech Processing Using Matlab Book PDF
✏Book Title : Digital Speech Processing Using Matlab
✏Author : E. S. Gopi
✏Publisher : Springer Science & Business Media
✏Release Date : 2013-12-03
✏Pages : 182
✏ISBN : 9788132216773
✏Available Language : English, Spanish, And French

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✏Digital Speech Processing Using Matlab Book Summary : Digital Speech Processing Using Matlab deals with digital speech pattern recognition, speech production model, speech feature extraction, and speech compression. The book is written in a manner that is suitable for beginners pursuing basic research in digital speech processing. Matlab illustrations are provided for most topics to enable better understanding of concepts. This book also deals with the basic pattern recognition techniques (illustrated with speech signals using Matlab) such as PCA, LDA, ICA, SVM, HMM, GMM, BPN, and KSOM.

📒Applied Pattern Recognition ✍ Dietrich W. R. Paulus

Applied Pattern Recognition Book PDF
✏Book Title : Applied Pattern Recognition
✏Author : Dietrich W. R. Paulus
✏Publisher : Friedrick Vieweg & Son
✏Release Date : 2001
✏Pages : 380
✏ISBN : 3528255587
✏Available Language : English, Spanish, And French

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✏Applied Pattern Recognition Book Summary : This book demonstrates the efficiency of the C++ programming language in the realm of pattern recognition and pattern analysis. For this 3rd edition, new features of the C++ language were integrated and their relevance for image and speech processing is discussed. The description of the STL library was extended and STL is now used in many places in the book. The chapters 23 and 24 can now be used to build complete systems and give hints for further extensions. The book is divided into four parts. After an introduction to programming and software engineering, the required basics of image and speech processing are given. Statistics and mathematics is explained as required. The second part threats C++ as an object-oriented language and introduces it through examples. In the third part the examples of the first and second part are combined to form an image segmentation and word recognition system. All relevant features of the C++ language are thus introduced with direct relation to the tasks in image and speech processing. * Methods for software development tailored to applications in pattern processing * Basics of image and speech processing * Software development tools * Mathematical tools * Implementation in C++ * Filters for signals (images and speech) * Edge and line detection * Spectral speech features * Pattern classification * Statistical models

Real World Speech Processing Book PDF
✏Book Title : Real World Speech Processing
✏Author : Jhing-Fa Wang
✏Publisher : Springer Science & Business Media
✏Release Date : 2004-03-31
✏Pages : 129
✏ISBN : 1402077858
✏Available Language : English, Spanish, And French

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✏Real World Speech Processing Book Summary : Real World Speech Processing brings together in one place important contributions and up-to-date research results in this fast-moving area. The contributors to this work were selected from the leading researchers and practitioners in this field. The work, originally published as Volume 36, Numbers 2-3 of the Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, will be valuable to anyone working or researching in the field of speech processing. It serves as an excellent reference, providing insight into some of the most challenging issues being examined today.

Automatic Speech Recognition On Mobile Devices And Over Communication Networks Book PDF
✏Book Title : Automatic Speech Recognition on Mobile Devices and over Communication Networks
✏Author : Zheng-Hua Tan
✏Publisher : Springer Science & Business Media
✏Release Date : 2008-04-17
✏Pages : 402
✏ISBN : 9781848001435
✏Available Language : English, Spanish, And French

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✏Automatic Speech Recognition on Mobile Devices and over Communication Networks Book Summary : The advances in computing and networking have sparked an enormous interest in deploying automatic speech recognition on mobile devices and over communication networks. This book brings together academic researchers and industrial practitioners to address the issues in this emerging realm and presents the reader with a comprehensive introduction to the subject of speech recognition in devices and networks. It covers network, distributed and embedded speech recognition systems.

Speech Synthesis And Recognition Book PDF
✏Book Title : Speech Synthesis and Recognition
✏Author : Wendy Holmes
✏Publisher : CRC Press
✏Release Date : 2001-12-06
✏Pages : 320
✏ISBN : 0748408568
✏Available Language : English, Spanish, And French

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✏Speech Synthesis and Recognition Book Summary : With the growing impact of information technology on daily life, speech is becoming increasingly important for providing a natural means of communication between humans and machines. This extensively reworked and updated new edition of Speech Synthesis and Recognition is an easy-to-read introduction to current speech technology. Aimed at advanced undergraduates and graduates in electronic engineering, computer science and information technology, the book is also relevant to professional engineers who need to understand enough about speech technology to be able to apply it successfully and to work effectively with speech experts. No advanced mathematical ability is required and no specialist prior knowledge of phonetics or of the properties of speech signals is assumed.

Speech Enhancement In The Karhunen Lo Ve Expansion Domain Book PDF
✏Book Title : Speech Enhancement in the Karhunen Lo ve Expansion Domain
✏Author : Jacob Benesty
✏Publisher : Morgan & Claypool Publishers
✏Release Date : 2011
✏Pages : 102
✏ISBN : 9781608456048
✏Available Language : English, Spanish, And French

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✏Speech Enhancement in the Karhunen Lo ve Expansion Domain Book Summary : This book is devoted to the study of the problem of speech enhancement whose objective is the recovery of a signal of interest (i.e., speech) from noisy observations. Typically, the recovery process is accomplished by passing the noisy observations through a linear filter (or a linear transformation). Since both the desired speech and undesired noise are filtered at the same time, the most critical issue of speech enhancement resides in how to design a proper optimal filter that can fully take advantage of the difference between the speech and noise statistics to mitigate the noise effect as much as possible while maintaining the speech perception identical to its original form. The optimal filters can be designed either in the time domain or in a transform space. As the title indicates, this book will focus on developing and analyzing optimal filters in the Karhunen-Loeve expansion (KLE) domain. We begin by describing the basic problem of speech enhancement and the fundamental principles to solve it in the time domain. We then explain how the problem can be equivalently formulated in the KLE domain. Next, we divide the general problem in the KLE domain into four groups, depending on whether interframe and interband information is accounted for, leading to four linear models for speech enhancement in the KLE domain. For each model, we introduce signal processing measures to quantify the performance of speech enhancement, discuss the formation of different cost functions, and address the optimization of these cost functions for the derivation of different optimal filters. Both theoretical analysis and experiments will be provided to study the performance of these filters and the links between the KLE-domain and time-domain optimal filters will be examined. Table of Contents: Introduction / Problem Formulation / Optimal Filters in the Time Domain / Linear Models for Signal Enhancement in the KLE Domain / Optimal Filters in the KLE Domain with Model 1 / Optimal Filters in the KLE Domain with Model 2 / Optimal Filters in the KLE Domain with Model 3 / Optimal Filters in the KLE Domain with Model 4 / Experimental Study"

Information Retrieval Techniques For Speech Applications Book PDF
✏Book Title : Information Retrieval Techniques for Speech Applications
✏Author : Anni R. Coden
✏Publisher : Springer Science & Business Media
✏Release Date : 2002-01-23
✏Pages : 108
✏ISBN : 9783540431565
✏Available Language : English, Spanish, And French

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✏Information Retrieval Techniques for Speech Applications Book Summary : This book is based on the workshop "Information Retrieval Techniques for Speech Applications", held as part of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in New Orleans, USA, in September 2001. The book presents 10 papers based on workshop presentations. The topics range from traditional information retrieval techniques over adaptations of these techniques to spoken documents and multimedia collections finally to new applications.