Fractional Fourier transform techniques for speech enhancement

• 作者： Kunche, Prajna, author.
• 其他作者：
  • Manikanthababu, N., author.
  • SpringerLink (Online service)
• 其他題名：
  • SpringerBriefs in speech technology, studies in speech signal processing, natural language understanding, and machine learning.
• 出版： Cham : Springer International Publishing :Imprint: Springer
• 叢書名： SpringerBriefs in speech technology, studies in speech signal processing, natural language understanding, and machine learning,
• 主題： Fourier transformations. , Speech processing systems. , Signal, Image and Speech Processing. , Algorithm Analysis and Problem Complexity. , Computational Linguistics.
• ISBN： 9783030427467 (electronic bk.) 、 9783030427450 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: Chapter 1. Introduction -- Chapter 2. Fractional Fourier Transform (FRFT) -- Chapter 3. Dual channel Speech Enhancement based on Fractional Fourier Transform -- Chapter 4. Fractional Cosine Transform based Single Channel Speech Enhancement Technique -- Chapter 5. Fractional Sine Transform based Single Channel Speech Enhancement Technique -- Chapter 6. Summary and Perspectives.
• More
• 摘要註: 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. The authors discuss the complexities involved in the highly non- stationary signal processing and the concepts of FRFT for speech enhancement applications. The book explains the fundamentals of FRFT as well as its implementation in speech enhancement. Theories of different FRFT methods are also discussed. The book lets readers understand the new fractional domains to prepare them to develop new algorithms. A comprehensive literature survey regarding the topic is also made available to the reader. Analyzes FRFT techniques in speech enhancement applications; Presents new approaches for speech enhancement using FRFT; Suggests the future directions of research in this emerging area.
• 讀者標籤：

  需登入
• 引用連結：

  Copy Link
• 目前引用數
• Share: