Voice Technologies for Speech Reconstruction and Enhancement, Hemant A. Patil, Amy Neustein

Название: The Path of Speech Technologies in Computer Assisted Language Learning
ISBN: 0415543002 ISBN-13(EAN): 9780415543002
Издательство: Taylor&Francis
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Цена: 14280.00 T
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Описание: This collection examines the promise and limitations for computer-assisted language learning of emerging speech technologies: speech recognition, text-to-speech synthesis, and acoustic visualization.

Автор: Frank Rudzicz
Название: Clear Speech: Technologies that Enable the Expression and Reception of Language
ISBN: 1627058265 ISBN-13(EAN): 9781627058261
Издательство: Mare Nostrum (Eurospan)
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Цена: 33440.00 T
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Описание: Examines the neurological and physical causes of several speech disorders and their clinical effects, and demonstrates how modern technology can be used in practice to manage those effects and improve one`s quality of life. The book is intended for a broad audience, from undergraduates to more senior researchers, as well as to users of these technologies and their therapists.

Автор: Prajna Kunche; K.V.V.S. Reddy
Название: Metaheuristic Applications to Speech Enhancement
ISBN: 3319316818 ISBN-13(EAN): 9783319316819
Издательство: Springer
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Цена: 60940.00 T
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Описание: Readers willbe able to understand the fundamentals of speech processing as well as theoptimization techniques, how the speech enhancement algorithms are implementedby utilizing optimization methods, and will be given the tools to develop newalgorithms.

Автор: Borisagar
Название: Speech Enhancement Techniques for Digital Hearing Aids
ISBN: 3319968203 ISBN-13(EAN): 9783319968209
Издательство: Springer
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Цена: 93160.00 T
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Описание:

​This book provides various speech enhancement algorithms for digital hearing aids. It covers information on noise signals extracted from silences of speech signal. The description of the algorithm used for this purpose is also provided. Different types of adaptive filters such as Least Mean Squares (LMS), Normalized LMS (NLMS) and Recursive Lease Squares (RLS) are described for noise reduction in the speech signals. Different types of noises are taken to generate noisy speech signals, and therefore information on various noises signals is provided. The comparative performance of various adaptive filters for noise reduction in speech signals is also described. In addition, the book provides a speech enhancement technique using adaptive filtering and necessary frequency strength enhancement using wavelet transform as per the requirement of audiogram for digital hearing aids.

• Presents speech enhancement techniques for improving performance of digital hearing aids;
  
• Covers various types of adaptive filters and their advantages and limitations;
  
• Provides a hybrid speech enhancement technique using wavelet transform and adaptive filters.

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: 46570.00 T
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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.

Автор: Benesty
Название: Fundamentals of Speech Enhancement
ISBN: 3319745239 ISBN-13(EAN): 9783319745237
Издательство: Springer
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Цена: 46570.00 T
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Описание: It starts with an exhaustive discussion on the fundamental best (linear and nonlinear) estimators, showing how they are connected to various important measures such as the coefficient of determination, the correlation coefficient, the conditional correlation coefficient, and the signal-to-noise ratio (SNR).