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Fractional Fourier Transform Techniques for Speech Enhancement, Kunche Prajna, Manikanthababu N.


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Цена: 51230.00T
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Ориентировочная дата поставки: Август-начало Сентября
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Автор: Kunche Prajna, Manikanthababu N.
Название:  Fractional Fourier Transform Techniques for Speech Enhancement
ISBN: 9783030427450
Издательство: Springer
Классификация:



ISBN-10: 3030427455
Обложка/Формат: Paperback
Страницы: 104
Вес: 0.17 кг.
Дата издания: 17.04.2020
Серия: Springerbriefs in speech technology
Язык: English
Издание: 1st ed. 2020
Иллюстрации: 26 illustrations, color; 8 illustrations, black and white; vii, 104 p. 34 illus., 25 illus. in color.
Размер: 23.39 x 15.60 x 0.61 cm
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book explains speech enhancement in the Fractional Fourier Transform (FRFT) domain and investigates the use of different FRFT algorithms in both single channel and multi-channel enhancement systems, which has proven to be an ideal time frequency analysis tool in many speech signal processing applications.

Fast Fourier Transform - Algorithms and Applications

Автор: K.R. Rao; Do Nyeon Kim; Jae Jeong Hwang
Название: Fast Fourier Transform - Algorithms and Applications
ISBN: 9400733593 ISBN-13(EAN): 9789400733596
Издательство: Springer
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Цена: 55890.00 T
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Описание: This book covers FFTs, frequency domain filtering, and applications to video and audio signal processing.As fields like communications, speech and image processing, and related areas are rapidly developing, the FFT as one of essential parts in digital signal processing has been widely used.

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: 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.



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: 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.

Canonical Correlation Analysis in Speech Enhancement

Автор: Jacob Benesty; Israel Cohen
Название: Canonical Correlation Analysis in Speech Enhancement
ISBN: 3319670190 ISBN-13(EAN): 9783319670195
Издательство: Springer
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Цена: 51230.00 T
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Описание:

Introduction.- Canonical Correlation Analysis.- Single-Channel Speech Enhancement in the Time Domain.- Single-Channel Speech Enhancement in the STFT Domain.- Multichannel Speech Enhancement in the Time Domain.- Multichannel Speech Enhancement in the Time Domain.- Adaptive Beamforming.


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: 60940.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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

Автор: Jacob Benesty; Shoji Makino; Jingdong Chen
Название: Speech Enhancement
ISBN: 3642063179 ISBN-13(EAN): 9783642063176
Издательство: Springer
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Цена: 121890.00 T
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Описание: A strong reference on the problem of signal and speech enhancement, describing the newest developments in this exciting field. The general emphasis is on noise reduction, because of the large number of applications that can benefit from this technology.


Fundamentals of Speech Enhancement

Автор: Benesty
Название: Fundamentals of Speech Enhancement
ISBN: 3319745239 ISBN-13(EAN): 9783319745237
Издательство: Springer
Рейтинг:
Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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).

DFT-Domain Based Single-Microphone Noise Reduction for Speech Enhancement

Автор: Richard C. Hendriks, Timo Gerkmann, Jesper Jensen
Название: DFT-Domain Based Single-Microphone Noise Reduction for Speech Enhancement
ISBN: 1627051430 ISBN-13(EAN): 9781627051439
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 36030.00 T
Наличие на складе: Невозможна поставка.
Описание: Outlines the significant advances that have been made during the last decade in the field of discrete Fourier transform domain-based single-channel noise reduction for speech enhancement. Furthermore, the book provides a concise description of a state-of-the-art speech enhancement system, and demonstrates the relative importance of the various building blocks of such a system.

Voice Technologies for Speech Reconstruction and Enhancement

Автор: Hemant A. Patil, Amy Neustein
Название: Voice Technologies for Speech Reconstruction and Enhancement
ISBN: 150151041X ISBN-13(EAN): 9781501510410
Издательство: Walter de Gruyter
Цена: 74320.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

Algorithms for Discrete Fourier Transform and Convolution

Автор: Richard Tolimieri; Myoung An; Chao Lu
Название: Algorithms for Discrete Fourier Transform and Convolution
ISBN: 1441931155 ISBN-13(EAN): 9781441931153
Издательство: Springer
Рейтинг:
Цена: 130590.00 T
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Описание: This graduate-level text provides a language for understanding, unifying, and implementing a wide variety of algorithms for digital signal processing - in particular, to provide rules and procedures that can simplify or even automate the task of writing code for the newest parallel and vector machines.

The Nonuniform Discrete Fourier Transform and Its Applications in Signal Processing

Автор: Sonali Bagchi; Sanjit K. Mitra
Название: The Nonuniform Discrete Fourier Transform and Its Applications in Signal Processing
ISBN: 1461372348 ISBN-13(EAN): 9781461372349
Издательство: Springer
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Цена: 148020.00 T
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Описание: The growth in the field of digital signal processing began with the simulation of continuous-time systems in the 1950s, even though the origin of the field can be traced back to 400 years when methods were developed to solve numerically problems such as interpolation and integration.

Fourier Transform Theory in Signal Processing

Автор: Pilato George
Название: Fourier Transform Theory in Signal Processing
ISBN: 1632382032 ISBN-13(EAN): 9781632382030
Издательство: Неизвестно
Цена: 166290.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.


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