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Robust speaker recognition in noisy environments [electronic resource]

Robust speaker recognition in noisy environments [electronic resource]

자료유형
E-Book(소장)
개인저자
Sreenivasa Rao, K. Sarkar, Sourjya.
서명 / 저자사항
Robust speaker recognition in noisy environments [electronic resource] / K. Sreenivasa Rao, Sourjya Sarkar.
발행사항
Cham :   Springer International Publishing :   Imprint: Springer,   2014.  
형태사항
1 online resource (xii, 139 p.) : ill. (some col.).
총서사항
SpringerBriefs in electrical and computer engineering,2191-8112
ISBN
9783319071305
요약
This book discusses speaker recognition methods to deal with realistic variable noisy environments. The text covers authentication systems for; robust noisy background environments, functions in real time and incorporated in mobile devices. The book focuses on different approaches to enhance the accuracy of speaker recognition in presence of varying background environments. The authors examine: (a) Feature compensation using multiple background models, (b) Feature mapping using data-driven stochastic models, (c) Design of super vector- based GMM-SVM framework for robust speaker recognition, (d) Total variability modeling (i-vectors) in a discriminative framework and (e) Boosting method to fuse evidences from multiple SVM models.
일반주기
Title from e-Book title page.  
내용주기
Robust Speaker Verification – A Review -- Speaker Verification in Noisy Environments using Gaussian Mixture Models -- Stochastic Feature Compensation for Robust Speaker Verification -- Robust Speaker Modeling for Speaker Verification in Noisy Environments.
서지주기
Includes bibliographical references.
이용가능한 다른형태자료
Issued also as a book.  
일반주제명
Automatic speech recognition.
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100 1 ▼a Sreenivasa Rao, K.
245 1 0 ▼a Robust speaker recognition in noisy environments ▼h [electronic resource] / ▼c K. Sreenivasa Rao, Sourjya Sarkar.
260 ▼a Cham : ▼b Springer International Publishing : ▼b Imprint: Springer, ▼c 2014.
300 ▼a 1 online resource (xii, 139 p.) : ▼b ill. (some col.).
490 1 ▼a SpringerBriefs in electrical and computer engineering, ▼x 2191-8112
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references.
505 0 ▼a Robust Speaker Verification – A Review -- Speaker Verification in Noisy Environments using Gaussian Mixture Models -- Stochastic Feature Compensation for Robust Speaker Verification -- Robust Speaker Modeling for Speaker Verification in Noisy Environments.
520 ▼a This book discusses speaker recognition methods to deal with realistic variable noisy environments. The text covers authentication systems for; robust noisy background environments, functions in real time and incorporated in mobile devices. The book focuses on different approaches to enhance the accuracy of speaker recognition in presence of varying background environments. The authors examine: (a) Feature compensation using multiple background models, (b) Feature mapping using data-driven stochastic models, (c) Design of super vector- based GMM-SVM framework for robust speaker recognition, (d) Total variability modeling (i-vectors) in a discriminative framework and (e) Boosting method to fuse evidences from multiple SVM models.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Automatic speech recognition.
700 1 ▼a Sarkar, Sourjya.
830 0 ▼a SpringerBriefs in electrical and computer engineering.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-3-319-07130-5
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 E14033095 도서상태 대출불가(열람가능) 반납예정일 예약 서비스 M

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