Kunche, Prajna.
Fractional Fourier Transform Techniques for Speech Enhancement [electronic resource] / by Prajna Kunche, N. Manikanthababu. - 1st ed. 2020. - VII, 104 p. 34 illus., 26 illus. in color. online resource. - SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning, 2191-7388 . - SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning, .
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.
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.
9783030427467
10.1007/978-3-030-42746-7 doi
Signal processing.
Algorithms.
Computational linguistics.
Signal, Speech and Image Processing .
Algorithms.
Computational Linguistics.
TK5102.9
621.382
Fractional Fourier Transform Techniques for Speech Enhancement [electronic resource] / by Prajna Kunche, N. Manikanthababu. - 1st ed. 2020. - VII, 104 p. 34 illus., 26 illus. in color. online resource. - SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning, 2191-7388 . - SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning, .
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.
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.
9783030427467
10.1007/978-3-030-42746-7 doi
Signal processing.
Algorithms.
Computational linguistics.
Signal, Speech and Image Processing .
Algorithms.
Computational Linguistics.
TK5102.9
621.382