Language Identification Using Spectral and Prosodic Features
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 stres...
| Main Authors: | , , |
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| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2015.
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| Series: | SpringerBriefs in Electrical and Computer Engineering,
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| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- 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).