國立虎尾科技大學 |

Fractional Fourier Transform Techniques for Speech Enhancement

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Fractional Fourier Transform Techniques for Speech Enhancement/ by Prajna Kunche, N. Manikanthababu.
作者:	Kunche, Prajna.
其他作者:	Manikanthababu, N.
面頁冊數:	VII, 104 p. 34 illus., 26 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational Linguistics. -
電子資源:	https://doi.org/10.1007/978-3-030-42746-7
ISBN:	9783030427467

Fractional Fourier Transform Techniques for Speech Enhancement
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,2191-737X. - 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.

ISBN: 9783030427467

Standard No.: 10.1007/978-3-030-42746-7doiSubjects--Topical Terms:

670080
Computational Linguistics.

LC Class. No.: TK5102.9

Dewey Class. No.: 621.382

Fractional Fourier Transform Techniques for Speech Enhancement
LDR:02900nam a22004215i 4500 001 1027784
003 DE-He213
005 20200707014050.0
007 cr nn 008mamaa
008 210318s2020 gw | s |||| 0|eng d
020 $a 9783030427467 $9 978-3-030-42746-7
024 7 $a 10.1007/978-3-030-42746-7 $2 doi
035 $a 978-3-030-42746-7
050 4 $a TK5102.9
050 4 $a TA1637-1638
072 7 $a TTBM $2 bicssc
072 7 $a TEC008000 $2 bisacsh
072 7 $a TTBM $2 thema
072 7 $a UYS $2 thema
082 0 4 $a 621.382 $2 23
100 1 $a Kunche, Prajna. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1107887
245 1 0 $a Fractional Fourier Transform Techniques for Speech Enhancement $h [electronic resource] / $c by Prajna Kunche, N. Manikanthababu.
250 $a 1st ed. 2020.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a VII, 104 p. 34 illus., 26 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning, $x 2191-737X
505 0 $a 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.
520 $a 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.
650 2 4 $a Computational Linguistics. $3 670080
650 2 4 $a Algorithm Analysis and Problem Complexity. $3 593923
650 1 4 $a Signal, Image and Speech Processing. $3 670837
650 0 $a Computational linguistics. $3 555811
650 0 $a Algorithms. $3 527865
650 0 $a Speech processing systems. $3 564428
650 0 $a Image processing. $3 557495
650 0 $a Signal processing. $3 561459
700 1 $a Manikanthababu, N. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1324232
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030427450
776 0 8 $i Printed edition: $z 9783030427474
830 0 $a SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning, $x 2191-737X $3 1255129
856 4 0 $u https://doi.org/10.1007/978-3-030-42746-7
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)