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020 _a9783030427467
_9978-3-030-42746-7
024 7 _a10.1007/978-3-030-42746-7
_2doi
050 4 _aTK5102.9
072 7 _aTJF
_2bicssc
072 7 _aUYS
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082 0 4 _a621.382
_223
100 1 _aKunche, Prajna.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_944769
245 1 0 _aFractional Fourier Transform Techniques for Speech Enhancement
_h[electronic resource] /
_cby Prajna Kunche, N. Manikanthababu.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aVII, 104 p. 34 illus., 26 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,
_x2191-7388
505 0 _aChapter 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.
520 _aThis 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.
650 0 _aSignal processing.
_94052
650 0 _aAlgorithms.
_93390
650 0 _aComputational linguistics.
_96146
650 1 4 _aSignal, Speech and Image Processing .
_931566
650 2 4 _aAlgorithms.
_93390
650 2 4 _aComputational Linguistics.
_96146
700 1 _aManikanthababu, N.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_944770
710 2 _aSpringerLink (Online service)
_944771
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030427450
776 0 8 _iPrinted edition:
_z9783030427474
830 0 _aSpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,
_x2191-7388
_944772
856 4 0 _uhttps://doi.org/10.1007/978-3-030-42746-7
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c77557
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