Language identification using spectral and prosodic features [electronic resource] / K. Sreenivasa Rao, V. Ramu Reddy, Sudhamay Maity.
Sreenivasa Rao, K., author.; Reddy, V. Ramu, author.; Maity, Sudhamay, author.
2015
PF1529
Available Online

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Title Language identification using spectral and prosodic features [electronic resource] / K. Sreenivasa Rao, V. Ramu Reddy, Sudhamay Maity.
Author Sreenivasa Rao, K., author.
ISBN 9783319171630 electronic book
3319171631 electronic book
9783319171623
DOI https://doi.org/10.1007/978-3-319-17163-0
Published Cham : Springer, [2015]
Language English
Description 1 online resource.
Item Number 10.1007/978-3-319-17163-0 doi
Call Number PF1529
Dewey Decimal Classification 491/.1
Summary This book discusses the impact of spectral features extracted from frame level, glottal closure regions, and pitch-synchronous analysis on the performance of language identification systems. In addition to spectral features, the authors explore prosodic features such as intonation, rhythm, and stress features for discriminating the languages. They present how the proposed spectral and prosodic features capture the language specific information from two complementary aspects, showing how the development of language identification (LID) system using the combination of spectral and prosodic features will enhance the accuracy of identification as well as improve the robustness of the system. This book provides the methods to extract the spectral and prosodic features at various levels, and also suggests the appropriate models for developing robust LID systems according to specific spectral and prosodic features. Finally, the book discuss about various combinations of spectral and prosodic features, and the desired models to enhance the performance of LID systems.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (viewed April 8, 2015).
Added Author Reddy, V. Ramu, author.
Maity, Sudhamay, author.
Series SpringerBriefs in electrical and computer engineering.
SpringerBriefs in speech technology.
Available in Other Form Print version: 9783319171623
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Introduction.- Literature Review
Language Identification using Spectral Features
Language Identification using Prosodic Features
Summary and Conclusions
Appendix A: LPCC Features
Appendix B: MFCC Features
Appendix C: Gaussian Mixture Model (GMM).

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