Name
Abstract | ||
|---|---|---|
For the Multi-label Bird Species Classification task in NIPS 2013, we design an ensemble classifier using simple audio features extracted from the given audio clips. The main difference of our approach is that we do not segment the audio or use local features and still achieve comparable results to the top teams of the challenge utilizing complex engineered features. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/APSIPA.2014.7041649 | APSIPA |
Keywords | Field | DocType |
ensemble classifier,audio feature extraction,feature extraction,signal classification,multilabel bird species classification task,audio signal processing,audio clips,vegetation,radio frequency,mel frequency cepstral coefficient | Mel-frequency cepstrum,Pattern recognition,Computer science,Speech recognition,Feature extraction,Artificial intelligence,Simple Features,Classifier (linguistics) | Conference |
ISSN | Citations | PageRank |
2309-9402 | 0 | 0.34 |
References | Authors | |
6 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yi Ren Leng | 1 | 6 | 2.97 |
| Tran Huy Dat | 2 | 165 | 25.31 |