Name
Title | ||
|---|---|---|
Multi-Channel Non-Negative Matrix Factorization for Overlapped Acoustic Event Detection. |
Abstract | ||
|---|---|---|
In this paper, we propose two multi-channel extensions of non-negative matrix factorization (NMF) for acoustic event detection. The first method performs decision fusion on the activation matrices produced from independent single-channel sparse-NMF solutions. The second method is a novel extension of single-channel NMF, incorporating in its objective function a multi-channel reconstruction error and a multi-channel class sparsity term on the activation matrices produced. This class sparsity constraint is used to guarantee that the NMF solutions at a given time will contain only a few classes activated across all channels. This indirectly forces the channels to seek solutions on which they agree, thus increasing robustness. We evaluate the proposed methods on a multi-channel database of overlapping acoustic events and various background noises collected inside a smart office space. Both proposed methods outperform the single-channel baseline, with the second approach achieving a 15.4% relative error reduction in terms of F-score. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.23919/EUSIPCO.2018.8553520 | European Signal Processing Conference |
Keywords | Field | DocType |
Acoustic event detection,multi-channel fusion,non-negative matrix factorization | Signal processing,Computer science,Matrix (mathematics),Matrix decomposition,Algorithm,Communication channel,Robustness (computer science),Non-negative matrix factorization,Sparse matrix,Approximation error | Conference |
ISSN | Citations | PageRank |
2076-1465 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Panagiotis Giannoulis | 1 | 3 | 0.77 |
| Gerasimos Potamianos | 2 | 1113 | 113.80 |
| Petros Maragos | 3 | 3733 | 591.97 |