Name
Abstract | ||
|---|---|---|
A method for multiple speaker localization using a two-microphone array is presented. Based on the disjointness property of speech signals in the time-frequency (TF) domain, the proposed approach models the distribution of Direction-Of-Arrival (DOA) estimates in the TF plane using a Laplacian Mixture Model (LMM). Reliable DOA estimates are pre-selected using a coherence-based criterion before fitting the model by means of the Expectation-Maximization (EM) algorithm. Results using public available data show the capability of the method to successfully detect the DOA of several sources in real environments. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.dsp.2010.04.003 | Digital Signal Processing |
Keywords | Field | DocType |
doa estimation,microphone array,coherence-based criterion,real environment,speech signal,public available data,proposed approach model,multiple speaker localization,two-microphone multi-speaker localization,reliable doa estimate,disjointness property,tf plane,laplacian mixture model,em algorithm,time frequency,mixture model,direction of arrival,expectation maximization | Pattern recognition,Laplace transform,Direction of arrival,Microphone array,Coherence (physics),Artificial intelligence,Time–frequency analysis,Mathematics,Microphone,Mixture model,Laplace operator | Journal |
Volume | Issue | ISSN |
21 | 1 | Digital Signal Processing |
Citations | PageRank | References |
10 | 0.57 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maximo Cobos | 1 | 162 | 20.52 |
| Jose J. Lopez | 2 | 32 | 4.51 |
| David Martinez | 3 | 10 | 0.57 |