Name
Title | ||
|---|---|---|
SVM-Based Sound Classification Based on MPEG-7 Audio LLDs and Related Enhanced Features. |
Abstract | ||
|---|---|---|
In this paper, we present a support vector machine (SVM) based sound classifier using MPEG-7 audio low-level descriptors and related enhanced features. The SVM is used to construct an environmental sound classifier. As for the audio features, a feature set which includes MPEG-7 audio low-level descriptors, spectrum centroid, spectrum spread, and spectrum flatness, and two enhanced features, RSS and Legendre-based trend coefficients (LBTCs) of the spectrum power is adopted for sound classification. Experiments demonstrate the proposed system can achieve an 81.25% classification rate. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-32692-9_67 | Communications in Computer and Information Science |
Field | DocType | Volume |
Flatness (systems theory),Pattern recognition,Computer science,Support vector machine,Sound classification,Feature set,Artificial intelligence,Classifier (linguistics),RSS,Classification rate,Centroid,Distributed computing | Conference | 310 |
ISSN | Citations | PageRank |
1865-0929 | 1 | 0.36 |
References | Authors | |
9 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chang-Hong Lin | 1 | 34 | 4.87 |
| Meng-Chi Tu | 2 | 1 | 0.36 |
| Yu-Hau Chin | 3 | 1 | 0.36 |
| Wei-Jun Liao | 4 | 1 | 0.36 |
| Cheng-shu Hsu | 5 | 29 | 1.89 |
| Szu-Hsien Lin | 6 | 20 | 1.23 |
| Jia-Ching Wang | 7 | 515 | 58.13 |
| Jhing-fa Wang | 8 | 982 | 114.31 |