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Prosodic Featured Based Automatic Language Identification


Prosodic Featured Based Automatic Language Identification
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Prosodic Featured Based Automatic Language Identification


Prosodic Featured Based Automatic Language Identification
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Author : Niraj Singh
language : en
Publisher: Educreation Publishing
Release Date : 2015-11-02

Prosodic Featured Based Automatic Language Identification written by Niraj Singh and has been published by Educreation Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-02 with Computers categories.


Living beings inherently have the ability to differentiate languages as a part of human intelligence. Language Identification (LID) had been a science fiction in 1970's but today; it has been deployed in practical usage. The prosodic features of a speech are relatively simpler in their structure and are accredited to be very affective in some Language Recognition (LR) or LID tasks; irrespective of these features to be biased on numerous factors, as speaker's way of speaking, the culture and background of speaker. The book includes a series of experiments on several speech corpus with different classification or/and identification technique. At the end of each chapter, few review questions have been included and at the verge of the book, a short list of projects for research scholars has been mentioned in addition to a set of MCQs and Important questions. This book motivates for developing a multilingual LID system which can be widely used for betterment of mankind, particularly in the fields of Intelligence Police/Military) services and medical care. In an overview, we may assert that the book explores various experimental datasets, for, performance analysis of LID system with News speech and Natural Conversation speech; Joint Factor Analysis for LR on prosodic featured models and for automatic LID using i-Vector based prosodic system.



Extraction Of Prosody For Automatic Speaker Language Emotion And Speech Recognition


Extraction Of Prosody For Automatic Speaker Language Emotion And Speech Recognition
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Author : Leena Mary
language : en
Publisher: Springer
Release Date : 2018-08-02

Extraction Of Prosody For Automatic Speaker Language Emotion And Speech Recognition written by Leena Mary and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-02 with Technology & Engineering categories.


This updated book expands upon prosody for recognition applications of speech processing. It includes importance of prosody for speech processing applications; builds on why prosody needs to be incorporated in speech processing applications; and presents methods for extraction and representation of prosody for applications such as speaker recognition, language recognition and speech recognition. The updated book also includes information on the significance of prosody for emotion recognition and various prosody-based approaches for automatic emotion recognition from speech.



Language Identification Using Spectral And Prosodic Features


Language Identification Using Spectral And Prosodic Features
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Author : K. Sreenivasa Rao
language : en
Publisher: Springer
Release Date : 2015-03-31

Language Identification Using Spectral And Prosodic Features written by K. Sreenivasa Rao and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-31 with Technology & Engineering categories.


This book discusses the impact of spectral features extracted from frame level, glottal closure regions, and pitch-synchronous analysis on the performance of language identification systems. In addition to spectral features, the authors explore prosodic features such as intonation, rhythm, and stress features for discriminating the languages. They present how the proposed spectral and prosodic features capture the language specific information from two complementary aspects, showing how the development of language identification (LID) system using the combination of spectral and prosodic features will enhance the accuracy of identification as well as improve the robustness of the system. This book provides the methods to extract the spectral and prosodic features at various levels, and also suggests the appropriate models for developing robust LID systems according to specific spectral and prosodic features. Finally, the book discuss about various combinations of spectral and prosodic features, and the desired models to enhance the performance of LID systems.



Language Identification Using Excitation Source Features


Language Identification Using Excitation Source Features
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Author : K. Sreenivasa Rao
language : en
Publisher: Springer
Release Date : 2015-04-15

Language Identification Using Excitation Source Features written by K. Sreenivasa Rao and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-15 with Technology & Engineering categories.


This book discusses the contribution of excitation source information in discriminating language. The authors focus on the excitation source component of speech for enhancement of language identification (LID) performance. Language specific features are extracted using two different modes: (i) Implicit processing of linear prediction (LP) residual and (ii) Explicit parameterization of linear prediction residual. The book discusses how in implicit processing approach, excitation source features are derived from LP residual, Hilbert envelope (magnitude) of LP residual and Phase of LP residual; and in explicit parameterization approach, LP residual signal is processed in spectral domain to extract the relevant language specific features. The authors further extract source features from these modes, which are combined for enhancing the performance of LID systems. The proposed excitation source features are also investigated for LID in background noisy environments. Each chapter of this book provides the motivation for exploring the specific feature for LID task, and subsequently discuss the methods to extract those features and finally suggest appropriate models to capture the language specific knowledge from the proposed features. Finally, the book discuss about various combinations of spectral and source features, and the desired models to enhance the performance of LID systems.



Advances In Computing Systems And Applications


Advances In Computing Systems And Applications
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Author : Mustapha Reda Senouci
language : en
Publisher: Springer Nature
Release Date : 2021-02-20

Advances In Computing Systems And Applications written by Mustapha Reda Senouci and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-20 with Technology & Engineering categories.


This proceedings book gathers selected papers presented at the 4th Conference on Computing Systems and Applications (CSA2020) held on December 14, 2020, at the Ecole Militaire Polytechnique, Algiers, Algeria. The proceedings provide a collection of new ideas, original research findings, and experimental results in the field of computer science covering: artificial intelligence, data science, computer networks and security, information systems, software engineering, and computer graphics. The proceedings are a valuable reference work for students, researchers, academics, and industry practitioners interested in the latest scientific and technological advances across the conference topics. Benefits: • Explores the latest research trends and their applications in a broad range of computer science disciplines • Presents a collection of contributions in emerging topics in computer science and information technology • Covers artificial intelligence, data science, computer networks and security, information systems, software engineering, and computer graphics



Extraction And Representation Of Prosody For Speaker Speech And Language Recognition


Extraction And Representation Of Prosody For Speaker Speech And Language Recognition
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Author : Leena Mary
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-10-17

Extraction And Representation Of Prosody For Speaker Speech And Language Recognition written by Leena Mary and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-17 with Technology & Engineering categories.


Extraction and Representation of Prosodic Features for Speech Processing Applications deals with prosody from speech processing point of view with topics including: The significance of prosody for speech processing applications Why prosody need to be incorporated in speech processing applications Different methods for extraction and representation of prosody for applications such as speech synthesis, speaker recognition, language recognition and speech recognition This book is for researchers and students at the graduate level.



Neural Networks In Telecommunications


Neural Networks In Telecommunications
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Author : Ben Yuhas
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Neural Networks In Telecommunications written by Ben Yuhas and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.


Neural Networks in Telecommunications consists of a carefully edited collection of chapters that provides an overview of a wide range of telecommunications tasks being addressed with neural networks. These tasks range from the design and control of the underlying transport network to the filtering, interpretation and manipulation of the transported media. The chapters focus on specific applications, describe specific solutions and demonstrate the benefits that neural networks can provide. By doing this, the authors demonstrate that neural networks should be another tool in the telecommunications engineer's toolbox. Neural networks offer the computational power of nonlinear techniques, while providing a natural path to efficient massively-parallel hardware implementations. In addition, the ability of neural networks to learn allows them to be used on problems where straightforward heuristic or rule-based solutions do not exist. Together these capabilities mean that neural networks offer unique solutions to problems in telecommunications. For engineers and managers in telecommunications, Neural Networks in Telecommunications provides a single point of access to the work being done by leading researchers in this field, and furnishes an in-depth description of neural network applications.



Neural Networks In Telecommunications


Neural Networks In Telecommunications
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Author : Nirwan Ansari
language : en
Publisher: Allied Publishers
Release Date :

Neural Networks In Telecommunications written by Nirwan Ansari and has been published by Allied Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.




Key Digital Trends Shaping The Future Of Information And Management Science


Key Digital Trends Shaping The Future Of Information And Management Science
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Author : Lalit Garg
language : en
Publisher: Springer Nature
Release Date : 2023-05-15

Key Digital Trends Shaping The Future Of Information And Management Science written by Lalit Garg and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-15 with Technology & Engineering categories.


This book (proceedings of ISMS 2022) is intended to be used as a reference by students and researchers who collect scientific and technical contributions with respect to models, tools, technologies and applications in the field of information systems and management science. This textbook shows how to exploit information systems in a technology-rich management field. The book introduces concepts, principles, methods, and procedures that will be valuable to students and scholars in thinking about existing organization systems, proposing new systems, and working with management professionals in implementing new information systems.



Springer Handbook Of Speech Processing


Springer Handbook Of Speech Processing
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Author : Jacob Benesty
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-11-28

Springer Handbook Of Speech Processing written by Jacob Benesty and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-11-28 with Technology & Engineering categories.


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.