Machine learning for speaker recognition / (Record no. 84183)

000 -LEADER
fixed length control field 02047nam a2200361 i 4500
001 - CONTROL NUMBER
control field CR9781108552332
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730160754.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 170919s2020||||enk o ||1 0|eng|d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781108552332 (ebook)
082 00 - CLASSIFICATION NUMBER
Call Number 006.4/54
100 1# - AUTHOR NAME
Author Mak, M. W.,
245 10 - TITLE STATEMENT
Title Machine learning for speaker recognition /
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 online resource (xviii, 309 pages) :
500 ## - GENERAL NOTE
Remark 1 Title from publisher's bibliographic system (viewed on 29 Jun 2020).
520 ## - SUMMARY, ETC.
Summary, etc This book will help readers understand fundamental and advanced statistical models and deep learning models for robust speaker recognition and domain adaptation. This useful toolkit enables readers to apply machine learning techniques to address practical issues, such as robustness under adverse acoustic environments and domain mismatch, when deploying speaker recognition systems. Presenting state-of-the-art machine learning techniques for speaker recognition and featuring a range of probabilistic models, learning algorithms, case studies, and new trends and directions for speaker recognition based on modern machine learning and deep learning, this is the perfect resource for graduates, researchers, practitioners and engineers in electrical engineering, computer science and applied mathematics.
700 1# - AUTHOR 2
Author 2 Chien, Jen-Tzung,
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1017/9781108552332
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cambridge :
-- Cambridge University Press,
-- 2020.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Automatic speech recognition.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Biometric identification.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Machine learning.

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