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Statistical Language and Speech Processing, Carlos Mart?n-Vide; Matthew Purver; Senja Pollak


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Автор: Carlos Mart?n-Vide; Matthew Purver; Senja Pollak
Название:  Statistical Language and Speech Processing
ISBN: 9783030313715
Издательство: Springer
Классификация:



ISBN-10: 3030313719
Обложка/Формат: Soft cover
Страницы: 326
Вес: 0.52 кг.
Дата издания: 2019
Серия: Lecture Notes in Artificial Intelligence
Язык: English
Издание: 1st ed. 2019
Иллюстрации: 50 illustrations, color; 71 illustrations, black and white; xi, 326 p. 121 illus., 50 illus. in color.
Размер: 234 x 156 x 18
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: 7th International Conference, SLSP 2019, Ljubljana, Slovenia, October 14–16, 2019, Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book constitutes the proceedings of the 7th International Conference on Statistical Language and Speech Processing, SLSP 2019, held in Ljubljana, Slovenia, in October 2019. Language Analysis and Generation; Speech Analysis and Synthesis;


The Elements of Statistical Learning

Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman
Название: The Elements of Statistical Learning
ISBN: 0387848576 ISBN-13(EAN): 9780387848570
Издательство: Springer
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Цена: 10480.00 р.
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Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.

Computer Age Statistical Inference

Автор: Bradley Efron and Trevor Hastie
Название: Computer Age Statistical Inference
ISBN: 1107149894 ISBN-13(EAN): 9781107149892
Издательство: Cambridge Academ
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Цена: 9029.00 р.
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Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.

Statistical Language and Speech Processing

Автор: Kr?l
Название: Statistical Language and Speech Processing
ISBN: 3319459244 ISBN-13(EAN): 9783319459240
Издательство: Springer
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Цена: 5870.00 р.
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Описание: This book constitutes the refereed proceedings of the 4th International Conference on Statistical Language and Speech Processing, SLSP 2016, held in Pilsen, Czech Republic, in October 2016. neural representation of speech and language; speech and language generation; speech recognition; speech synthesis; speech transcription; speech correction;

Statistical Language and Speech Processing

Автор: Nathalie Camelin; Yannick Est?ve; Carlos Mart?n-Vi
Название: Statistical Language and Speech Processing
ISBN: 3319684558 ISBN-13(EAN): 9783319684550
Издательство: Springer
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Цена: 7685.00 р.
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Описание: This book constitutes the refereed proceedings of the 5th International Conference on Statistical Language and Speech Processing, SLSP 2017, held in Le Mans, France, in October 2017. The 21 full papers presented were carefully reviewed and selected from 39 submissions.

Statistical Language and Speech Processing

Автор: Laurent Besacier; Adrian-Horia Dediu; Carlos Mart?
Название: Statistical Language and Speech Processing
ISBN: 3319113968 ISBN-13(EAN): 9783319113968
Издательство: Springer
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Цена: 6708.00 р.
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Описание: This book constitutes the refereed proceedings of the Second International Conference on Statistical Language and Speech Processing, SLSP 2014, held in Grenoble, France, in October 2014.

Statistical Language and Speech Processing

Автор: Adrian-Horia Dediu; Carlos Mart?n-Vide; Kl?ra Vics
Название: Statistical Language and Speech Processing
ISBN: 3319257889 ISBN-13(EAN): 9783319257884
Издательство: Springer
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Цена: 7826.00 р.
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Описание: This book constitutes the refereed proceedings of theThird International Conference on Statistical Language and Speech Processing,SLSP 2015, held in Budapest, Hungary, in November 2015. The 26 full papers presented together with twoinvited talks were carefully reviewed and selected from 71 submissions.

Statistical Language and Speech Processing

Автор: Adrian-Horia Dediu; Carlos Mart?n-Vide; Ruslan Mit
Название: Statistical Language and Speech Processing
ISBN: 3642395929 ISBN-13(EAN): 9783642395925
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the refereed proceedings of the First International Conference on Statistical Language and Speech Processing, SLSP 2013, held in Tarragona, Spain, in July 2013. The papers cover a wide range of topics in the fields of computational language and speech processing and the statistical methods that are currently in use.

Statistical Language and Speech Processing

Автор: Thierry Dutoit; Carlos Mart?n-Vide; Gueorgui Piron
Название: Statistical Language and Speech Processing
ISBN: 3030008096 ISBN-13(EAN): 9783030008093
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the proceedings of the 6th International Conference on Statistical Language and Speech Processing, SLSP 2018, held in Mons, Belgium, in October 2018. The 15 full papers presented in this volume were carefully reviewed and selected from 40 submissions. They were organized in topical sections named: speech synthesis and spoken language generation; speech recognition and post-processing; natural language processing and understanding; and text processing and analysis.

The theory of quantum information

Автор: Watrous, John (university Of Waterloo, Ontario)
Название: The theory of quantum information
ISBN: 1107180562 ISBN-13(EAN): 9781107180567
Издательство: Cambridge Academ
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Цена: 11563.00 р.
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Описание: Intended for graduate students and researchers, this book presents a formal development of the mathematical theory of quantum information. Largely self-contained, with clear proofs and a wide range of exercises, it will help the reader grasp the fundamental facts and techniques that form the mathematical foundations of the subject.

Statistical Methods in Video Processing

Автор: Dorin Comaniciu; Kenichi Kanatani; Rudolf Mester;
Название: Statistical Methods in Video Processing
ISBN: 3540239898 ISBN-13(EAN): 9783540239895
Издательство: Springer
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Цена: 9781.00 р.
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Описание: The 2nd International Workshop on Statistical Methods in Video Processing, SMVP 2004, was held in Prague, Czech Republic, as an associated workshop of ECCV 2004, the 8th European Conference on Computer Vision.

Spectral Analysis for Univariate Time Series

Автор: Donald B. Percival, Andrew T. Walden
Название: Spectral Analysis for Univariate Time Series
ISBN: 1107028140 ISBN-13(EAN): 9781107028142
Издательство: Cambridge Academ
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Цена: 14573.00 р.
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Описание: Spectral analysis is an important technique for interpreting time series data. This book uses the R language and real world examples to show data analysts interested in time series in the environmental, engineering and physical sciences how to bridge the gap between the statistical theory behind spectral analysis and its application to actual data.

Source Modeling Techniques for Quality Enhancement in Statistical Parametric Speech Synthesis

Автор: K. Sreenivasa Rao; N. P. Narendra
Название: Source Modeling Techniques for Quality Enhancement in Statistical Parametric Speech Synthesis
ISBN: 3030027589 ISBN-13(EAN): 9783030027582
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book presents a statistical parametric speech synthesis (SPSS) framework for developing a speech synthesis system where the desired speech is generated from the parameters of vocal tract and excitation source. Throughout the book, the authors discuss novel source modeling techniques to enhance the naturalness and overall intelligibility of the SPSS system. This book provides several important methods and models for generating the excitation source parameters for enhancing the overall quality of synthesized speech. The contents of the book are useful for both researchers and system developers. For researchers, the book is useful for knowing the current state-of-the-art excitation source models for SPSS and further refining the source models to incorporate the realistic semantics present in the text. For system developers, the book is useful to integrate the sophisticated excitation source models mentioned to the latest models of mobile/smart phones.


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