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Source Modeling Techniques for Quality Enhancement in Statistical Parametric Speech Synthesis, K. Sreenivasa Rao; N. P. Narendra


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Автор: K. Sreenivasa Rao; N. P. Narendra
Название:  Source Modeling Techniques for Quality Enhancement in Statistical Parametric Speech Synthesis
ISBN: 9783030027582
Издательство: Springer
Классификация:



ISBN-10: 3030027589
Обложка/Формат: Soft cover
Страницы: 136
Вес: 0.24 кг.
Дата издания: 2019
Серия: SpringerBriefs in Speech Technology
Язык: English
Издание: 1st ed. 2019
Иллюстрации: 75 tables, color; 11 illustrations, color; 63 illustrations, black and white; xii, 136 p. 74 illus., 11 illus. in color.
Размер: 234 x 156 x 8
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
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.
Дополнительное описание: Chapter 1. Introduction.- Chapter 2. Background and literature review.- Chapter 3. Robust voicing detection and F0 estimation method.- Chapter 4. Parametric approach of modeling the source signal.- Chapter 5. Hybrid approach of modeling the source signal



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.


Parametric Packet-based Audiovisual Quality Model for IPTV services

Автор: Marie-Neige Garcia
Название: Parametric Packet-based Audiovisual Quality Model for IPTV services
ISBN: 3319381180 ISBN-13(EAN): 9783319381183
Издательство: Springer
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Цена: 14365.00 р.
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Описание: This volume presents a parametric, packet-based, comprehensive model to measure and predict the audiovisual quality of Internet Protocol Television services as it is likely to be perceived by the user. The comprehensive model is divided into three sub-models referred to as the audio model, the video model, and the audiovisual model.

Data-Driven Techniques in Speech Synthesis

Автор: R.I. Damper
Название: Data-Driven Techniques in Speech Synthesis
ISBN: 1441947337 ISBN-13(EAN): 9781441947338
Издательство: Springer
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Цена: 32004.00 р.
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Описание: This first review of a new field covers all areas of speech synthesis from text, ranging from text analysis to letter-to-sound conversion. At the leading edge of current research, the concise and accessible book is written by well respected experts in the field.

Speech Prosody in Speech Synthesis: Modeling and generation of prosody for high quality and flexible speech synthesis

Автор: Keikichi Hirose; Jianhua Tao
Название: Speech Prosody in Speech Synthesis: Modeling and generation of prosody for high quality and flexible speech synthesis
ISBN: 366245257X ISBN-13(EAN): 9783662452578
Издательство: Springer
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Цена: 13974.00 р.
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Описание: The volume addresses issues concerning prosody generation in speech synthesis, including prosody modeling, how we can convey para- and non-linguistic information in speech synthesis, and prosody control in speech synthesis (including prosody conversions).


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