Name
Abstract | ||
|---|---|---|
The solution of speech related problems such as source location or separation relies on a prior estimation of the number of sources. In this paper we propose a method for speech source enumeration based on the different relative delays that sources at different locations register at two microphones. The Probability Density Function (PDF) of the estimated delays exhibits peaks associated with each source. The Minimum Description Length (MDL) criterion is applied to the prediction error of a linear model fitted to the delay estimates. The method is validated for the estimation of different number of sources and different mixtures. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICASSP.2013.6638471 | Acoustics, Speech and Signal Processing |
Keywords | Field | DocType |
blind source separation,delay estimation,estimation theory,probability,speech processing,MDL criterion,PDF,delay estimates,estimated delays,information theoretic approach,linear model,minimum description length criterion,prediction error,prior estimation,probability density function,relative delays,source location,speech related problems,speech source enumeration,Array signal processing,Microphone array,Source enumeration,Speech source separation | Speech processing,Mean squared prediction error,Pattern recognition,Computer science,Linear model,Enumeration,Minimum description length,Artificial intelligence,Estimation theory,Probability density function,Blind signal separation | Conference |
ISSN | Citations | PageRank |
1520-6149 | 1 | 0.38 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| David AyllóN | 1 | 18 | 6.59 |
| Roberto Gil-Pita | 2 | 79 | 17.06 |
| Manuel Rosa-Zurera | 3 | 192 | 36.27 |
| Hamid Krim | 4 | 520 | 59.69 |
| Gil-Pita, R. | 5 | 1 | 0.38 |
| Rosa-Zurera, M. | 6 | 1 | 0.38 |