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Speech recognition using articulatory and excitation source features. Sreenivasa Rao, K. and Manjunath, K. E.
Material type:
TextPublisher: New York, NY : Springer Berlin Heidelberg, 2016Description: pages cmContent type: - text
- unmediated
- volume
- 9783319492193
- 006.454 SRE M;1
Online resources:
Contents:
Introduction.- Literature Review.- Articulatory Features for Phone Recognition.- Excitation Source Features for Phone Recognition.- Articulatory and Excitation Source Features for Speech Recognition in Read, Extempore and Conversation Modes.- Conclusion.- Appendix A: MFCC Features.- Appendix B: Pattern Recognition Models.
| Cover image | Item type | Current library | Home library | Collection | Shelving location | Call number | Materials specified | Vol info | URL | Copy number | Status | Notes | Date due | Barcode | Item holds | Item hold queue priority | Course reserves | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Reference text books | All India Institute of Speech and Hearing | R-1/5 | 006.454 SRE M;1 (Browse shelf(Opens below)) | Available | 21746 | |||||||||||||
| Stack text books | All India Institute of Speech and Hearing | 3/5 | 006.454 SRE M;1 (Browse shelf(Opens below)) | Available | 21747 |
Total holds: 0
Browsing All India Institute of Speech and Hearing shelves,Collection: 3/5 Close shelf browser (Hides shelf browser)
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| 006.454 LIM Speech enhancement / | 006.454 LOI Speech enhancement : theory and practice / | 006.454 MOW Single channel phase-aware signal processing in speech communication : theory and practice / | 006.454 SRE M;1 Speech recognition using articulatory and excitation source features. | 006.454 ZHA W;1 Pathological voice analysis / |
Introduction.- Literature Review.- Articulatory Features for Phone Recognition.- Excitation Source Features for Phone Recognition.- Articulatory and Excitation Source Features for Speech Recognition in Read, Extempore and Conversation Modes.- Conclusion.- Appendix A: MFCC Features.- Appendix B: Pattern Recognition Models.
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