Name
Title | ||
|---|---|---|
Distributed Robust Labeling Of Audio Sources In Heterogeneous Wireless Sensor Networks |
Abstract | ||
|---|---|---|
A novel algorithm for distributed labeling of speech sources is proposed. We consider a wireless sensor network comprising devices that are equipped with multiple microphones, which can "hear" a number of speech signals. The labeling task is performed in a decentralized fashion with a new two-step approach. The first step corresponds to the distributed extraction of proper source-specific features from the mixed signals. In the second step, these features are exploited via a distributed unsupervised learning technique. We present approaches that can be used in hierarchically organized or in non-hierarchically organized network configurations. Numerical examples using real data display the performance of the proposed technique. |
Year | Venue | Keywords |
|---|---|---|
2015 | 2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP) | distributed clustering, speech labeling, wireless sensor network, cooperative signal processing, feature extraction |
Field | DocType | ISSN |
Key distribution in wireless sensor networks,Pattern recognition,Computer science,Real-time computing,Feature extraction,Unsupervised learning,Artificial intelligence,Wireless sensor network,Machine learning,Data display | Conference | 1520-6149 |
Citations | PageRank | References |
12 | 0.60 | 13 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Symeon Chouvardas | 1 | 197 | 13.31 |
| Michael Muma | 2 | 144 | 19.51 |
| Khadidja Hamaidi | 3 | 12 | 0.60 |
| Sergios Theodoridis | 4 | 1353 | 106.97 |
| Abdelhak M. Zoubir | 5 | 1036 | 148.03 |