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Digital speech processing using Matlab [electronic resource]

Digital speech processing using Matlab [electronic resource]

자료유형
E-Book(소장)
개인저자
Gopi, E. S.
서명 / 저자사항
Digital speech processing using Matlab [electronic resource] / E.S. Gopi.
발행사항
New Delhi :   Springer India :   Imprint: Springer,   2014.  
형태사항
1 online resource (xvi, 182 p.) : ill.
총서사항
Signals and communication technology,1860-4862
ISBN
9788132216773
요약
Digital Speech Processing Using Matlab deals with digital speech pattern recognition, speech production model, speech feature extraction, and speech compression. The book is written in a manner that is suitable for beginners pursuing basic research in digital speech processing. Matlab illustrations are provided for most topics to enable better understanding of concepts. This book also deals with the basic pattern recognition techniques (illustrated with speech signals using Matlab) such as PCA, LDA, ICA, SVM, HMM, GMM, BPN, and KSOM.
일반주기
Title from e-Book title page.  
Includes index.  
내용주기
Pattern Recognition for Speech Detection -- Speech Production Model -- Feature Extraction of the Speech Signal -- Speech Compression -- Appendix A: Constrained Optimization using Lagrangian Techniques -- Appendix B: Expectation-Maximization Algorithm -- Appendix C: Diagonalization of the Matrix -- Appendix D: Condition Number -- Appendix E: Spectral Flatness -- Appendix F: Functional Blocks of the Vocal Tract and the Ear.
이용가능한 다른형태자료
Issued also as a book.  
일반주제명
Pattern perception. Speech processing systems.
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245 1 0 ▼a Digital speech processing using Matlab ▼h [electronic resource] / ▼c E.S. Gopi.
260 ▼a New Delhi : ▼b Springer India : ▼b Imprint: Springer, ▼c 2014.
300 ▼a 1 online resource (xvi, 182 p.) : ▼b ill.
336 ▼a text ▼b txt ▼2 rdacontent
337 ▼a computer ▼b c ▼2 rdamedia
338 ▼a online resource ▼b cr ▼2 rdacarrier
490 1 ▼a Signals and communication technology, ▼x 1860-4862
500 ▼a Title from e-Book title page.
500 ▼a Includes index.
505 0 ▼a Pattern Recognition for Speech Detection -- Speech Production Model -- Feature Extraction of the Speech Signal -- Speech Compression -- Appendix A: Constrained Optimization using Lagrangian Techniques -- Appendix B: Expectation-Maximization Algorithm -- Appendix C: Diagonalization of the Matrix -- Appendix D: Condition Number -- Appendix E: Spectral Flatness -- Appendix F: Functional Blocks of the Vocal Tract and the Ear.
520 ▼a Digital Speech Processing Using Matlab deals with digital speech pattern recognition, speech production model, speech feature extraction, and speech compression. The book is written in a manner that is suitable for beginners pursuing basic research in digital speech processing. Matlab illustrations are provided for most topics to enable better understanding of concepts. This book also deals with the basic pattern recognition techniques (illustrated with speech signals using Matlab) such as PCA, LDA, ICA, SVM, HMM, GMM, BPN, and KSOM.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
630 0 0 ▼a MATLAB.
650 0 ▼a Pattern perception.
650 0 ▼a Speech processing systems.
830 0 ▼a Signals and communication technology.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-81-322-1677-3
945 ▼a KLPA
991 ▼a E-Book(소장)

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/e-Book 컬렉션/ 청구기호 CR 006.454 등록번호 E14035407 도서상태 대출불가(열람가능) 반납예정일 예약 서비스 M

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