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Robust Emotion Recognition using Spectral and Prosodic Features, K. Sreenivasa Rao; Shashidhar G. Koolagudi


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Цена: 9141.00р.
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Автор: K. Sreenivasa Rao; Shashidhar G. Koolagudi
Название:  Robust Emotion Recognition using Spectral and Prosodic Features
ISBN: 9781461463597
Издательство: Springer
Классификация:



ISBN-10: 1461463599
Обложка/Формат: Soft cover
Страницы: 118
Вес: 0.21 кг.
Дата издания: 12.01.2013
Серия: Springerbriefs in electrical and computer engineering / springerbriefs in speech technology
Язык: English
Издание: 2013 ed.
Иллюстрации: 46 tables, black and white; 15 illustrations, color; 22 illustrations, black and white; xii, 118 p. 37 illus., 15 illus. in color.
Размер: 229 x 152 x 13
Читательская аудитория: Professional & vocational
Основная тема: Signal, Image and Speech Processing
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: In this brief, the authors discuss recently explored spectral (sub-segmental and pitch synchronous) and prosodic (global and local features at word and syllable levels in different parts of the utterance) features for discerning emotions in a robust manner.


Language Identification Using Excitation Source Features

Автор: K. Sreenivasa Rao; Dipanjan Nandi
Название: Language Identification Using Excitation Source Features
ISBN: 3319177249 ISBN-13(EAN): 9783319177243
Издательство: Springer
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Цена: 9141.00 р.
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Описание: 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;

Robust Filtering for Uncertain Systems

Автор: Huijun Gao; Xianwei Li
Название: Robust Filtering for Uncertain Systems
ISBN: 3319059025 ISBN-13(EAN): 9783319059020
Издательство: Springer
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Цена: 19591.00 р.
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Language Identification Using Spectral and Prosodic Features

Автор: K. Sreenivasa Rao; V. Ramu Reddy; Sudhamay Maity
Название: Language Identification Using Spectral and Prosodic Features
ISBN: 3319171623 ISBN-13(EAN): 9783319171623
Издательство: Springer
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Цена: 9141.00 р.
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Описание: Introduction.- Literature Review.- Language Identification using Spectral Features.- Language Identification using Prosodic Features.- Summary and Conclusions.- Appendix A: LPCC Features.- Appendix B: MFCC Features.- Appendix C: Gaussian Mixture Model (GMM).

Digital signal processing and spectral analysis for scientists.

Название: Digital signal processing and spectral analysis for scientists.
ISBN: 3319254669 ISBN-13(EAN): 9783319254661
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This book covers the basics of processing and spectral analysis of monovariate discrete-time signals. Prior advanced mathematical skills are not needed in order to understand the contents: a good command of basic mathematical analysis is sufficient.

Robust Speaker Recognition in Noisy Environments

Автор: K. Sreenivasa Rao; Sourjya Sarkar
Название: Robust Speaker Recognition in Noisy Environments
ISBN: 3319071297 ISBN-13(EAN): 9783319071299
Издательство: Springer
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Цена: 9141.00 р.
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Robust Multimodal Cognitive Load Measurement

Автор: Chen
Название: Robust Multimodal Cognitive Load Measurement
ISBN: 3319316982 ISBN-13(EAN): 9783319316987
Издательство: Springer
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Цена: 16769.00 р.
Наличие на складе: Поставка под заказ.

Описание: This book explores robust multimodal cognitiveload measurement with physiological and behavioural modalities, which involve theeye, Galvanic Skin Response, speech, language, pen input, mouse movement andmultimodality fusions. Factors including stress, trust, and environmentalfactors such as illumination are discussed regarding their implications forcognitive load measurement. Furthermore, dynamic workload adjustment andreal-time cognitive load measurement with data streaming are presented in orderto make cognitive load measurement accessible by more widespread applicationsand users. Finally, application examples are reviewed demonstrating thefeasibility of multimodal cognitive load measurement in practical applications.This is thefirst book of its kind to systematically introduce various computationalmethods for automatic and real-time cognitive load measurement and by doing somoves the practical application of cognitive load measurement from the domainof the computer scientist and psychologist to more general end-users, ready forwidespread implementation.Robust Multimodal CognitiveLoad Measurement is intended for researchers and practitioners involved with cognitiveload studies and communities within the computer, cognitive, and socialsciences. The book will especially benefit researchers in areas like behaviouranalysis, social analytics, human-computer interaction (HCI), intelligentinformation processing, and decision support systems.

Robust Signal Processing for Wireless Communications

Автор: Frank Dietrich
Название: Robust Signal Processing for Wireless Communications
ISBN: 3642093574 ISBN-13(EAN): 9783642093579
Издательство: Springer
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Цена: 18284.00 р.
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Описание: Optimization of adaptive signal processing algorithms for wireless communications is based on a model of the underlying propagation channel. In practice, this model is never known perfectly. For example, its parameters have to be estimated and are only known with significant errors.

Resolving Spectral Mixtures,30

Автор: Ruckebusch, Cyril
Название: Resolving Spectral Mixtures,30
ISBN: 0444636382 ISBN-13(EAN): 9780444636386
Издательство: Elsevier Science
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Цена: 23244.00 р.
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Описание:

Resolving Spectral Mixtures: With Applications from Ultrafast Time-Resolved Spectroscopy to Superresolution Imaging offers a comprehensive look into the most important models and frameworks essential to resolving the spectral unmixing problem--from multivariate curve resolution and multi-way analysis to Bayesian positive source separation and nonlinear unmixing. Unravelling total spectral data into the contributions from individual unknown components with limited prior information is a complex problem that has attracted continuous interest for almost four decades.

Spectral unmixing is a topic of interest in statistics, chemometrics, signal processing, and image analysis. For decades, researchers from these fields were often unaware of the work in other disciplines due to their different scientific and technical backgrounds and interest in different objects or samples. This led to the development of quite different approaches to solving the same problem. This multi-authored book will bridge the gap between disciplines with contributions from a number of well-known and strongly active chemometric and signal processing research groups.

Among chemists, multivariate curve resolution methods are preferred to extract information about the nature, amount, and location in time (process) and space (imaging and microscopy) of chemical constituents in complex samples. In signal processing, assumptions are usually around statistical independence of the extracted components. However, the chapters include the complexity of the spectral data to be unmixed as well as dimensionality and size of the data sets. Advanced spectroscopy is the key thread linking the different chapters. Applications cover a large part of the electromagnetic spectrum. Time-resolution ranges from femtosecond to second in process spectroscopy and spatial resolution covers the submicronic to macroscopic scale in hyperspectral imaging.

Robust Image Authentication in the Presence of Noise

Автор: Nata?a ?ivi?
Название: Robust Image Authentication in the Presence of Noise
ISBN: 3319131559 ISBN-13(EAN): 9783319131559
Издательство: Springer
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Цена: 16979.00 р.
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Описание: Robust Image Authentication in the Presence of Noise


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