Real-time Speech and Music Classification by Large Audio Feature Space Extraction
This book reports on an outstanding thesis that has significantly advanced the state-of-the-art in the automated analysis and classification of speech and music. It defines several standard acoustic parameter sets and describes their implementation in a novel, open-source, audio analysis framework c...
| Κύριος συγγραφέας: | |
|---|---|
| Συγγραφή απο Οργανισμό/Αρχή: | |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
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| Σειρά: | Springer Theses, Recognizing Outstanding Ph.D. Research,
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| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Abstract
- Introduction
- Acoustic Features and Modelling
- Standard Baseline Feature Sets
- Real-time Incremental Processing
- Real-life Robustness
- Evaluation
- Discussion and Outlook
- Appendix
- Mel-frequency Filterbank Parameters.
