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


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Автор: Hemant A. Patil, Amy Neustein
Название:  Voice Technologies for Speech Reconstruction and Enhancement
ISBN: 9781501510410
Издательство: Walter de Gruyter
Классификация:



ISBN-10: 150151041X
Обложка/Формат: Hardback
Страницы: 228
Вес: 0.45 кг.
Дата издания: 10.02.2020
Серия: Engineering
Язык: English
Размер: 231 x 158 x 18
Читательская аудитория: Professional and scholarly
Ключевые слова: Acoustic & sound engineering,Computational linguistics,Engineering: general,Speech & language disorders & therapy, COMPUTERS / Natural Language Processing,COMPUTERS / Social Aspects / General,COMPUTERS / Speech & Audio Processing,LANGUAGE ARTS & DISCIPLIN
Поставляется из: Германии
Описание: The book explores new ways to reconstruct and enhance speech that is compromised by various neuro-motor disorders – collectively known as “dysarthria.” The authors address some of the extant lacunae in speech research of dysarthric conditions: they show how new methods can improve speaker recognition when speech is impaired due to developmental or acquired pathologies; they present a novel multi-dimensional approach to help the speech system both assess dysarthric speech and to perform intelligibility improvement of the impaired speech; they display well-performing software solutions for developmental and acquired speech impairments, and for vocal injuries; and they examine non-acoustic signals and muted nonverbal sounds in relation to audible speech conversion.


The Path of Speech Technologies in Computer Assisted Language Learning

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: 2142.00 р.
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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.

Metaheuristic Applications to Speech Enhancement

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: 9141.00 р.
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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.

Speech Enhancement Techniques for Digital Hearing Aids

Автор: Borisagar
Название: Speech Enhancement Techniques for Digital Hearing Aids
ISBN: 3319968203 ISBN-13(EAN): 9783319968209
Издательство: Springer
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Цена: 13974.00 р.
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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.


Fundamentals of Speech Enhancement

Автор: Benesty
Название: Fundamentals of Speech Enhancement
ISBN: 3319745239 ISBN-13(EAN): 9783319745237
Издательство: Springer
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Цена: 6986.00 р.
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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).

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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