Digital Speech Processing Using Matlab
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...
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| Author / Creator: | |
|---|---|
| Other Corporate Authors / Creators: | SpringerLink (Online service) |
| Format: | Electronic eBook |
| Language: | English |
| Edition: | 1st ed. 2014. |
| Imprint: | New Delhi : Springer India : Imprint: Springer, 2014. |
| Series: | Signals and Communication Technology,
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| Subjects: | |
| Online Access: | Available in Springer Engineering eBooks 2014 English/International. |
| LEADER | 02567cam a22004093i 4500 | ||
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| 008 | 131203s2014 ii | o |||| 0|eng d | ||
| 020 | |z 9788132216766 | ||
| 020 | |a 9788132216773 (online) | ||
| 035 | |a (EBZ)ebs2443753e | ||
| 040 | |d EBZ | ||
| 042 | |a msc | ||
| 050 | 4 | |a TK5102.9 | |
| 100 | 1 | |a Gopi, E. S. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Digital Speech Processing Using Matlab |h [electronic resource] |c by E. S. Gopi. |
| 250 | |a 1st ed. 2014. | ||
| 264 | 1 | |a New Delhi : |b Springer India : |b Imprint: Springer, |c 2014. | |
| 490 | 1 | |a Signals and Communication Technology, |x 1860-4870 | |
| 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. | ||
| 650 | 0 | |a Signal processing. | |
| 650 | 0 | |a Pattern recognition systems. | |
| 650 | 0 | |a Biomedical engineering. | |
| 650 | 1 | 4 | |a Signal, Speech and Image Processing . |
| 650 | 2 | 4 | |a Automated Pattern Recognition. |
| 650 | 2 | 4 | |a Biomedical Engineering and Bioengineering. |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Engineering eBooks 2014 English/International |d Springer Nature | |
| 776 | 0 | 8 | |i Printed edition: |z 9788132216780 |
| 776 | 0 | 8 | |i Printed edition: |z 9788132216766 |
| 776 | 0 | 8 | |i Printed edition: |z 9788132228974 |
| 776 | 1 | |t Digital Speech Processing Using Matlab | |
| 830 | 0 | |a Signals and Communication Technology, |x 1860-4870 | |
| 856 | 4 | 0 | |3 Full text available |z Available in Springer Engineering eBooks 2014 English/International. |u https://ezproxy.wellesley.edu/login?url=https://link.springer.com/10.1007/978-81-322-1677-3 |