Name
Abstract | ||
|---|---|---|
This paper proposes a method to separate audio signals when number of sources is more than the number of the sensors used and the number of source signals is not known in advance. The proposed method is for underdetermined blind source separation where time frequency masking is used to remove some of the signals from the mixtures till the number of mixtures is equal to the number of sources and then kurtosis maximization method is used to separate the remaining signals. In this paper we separate four signals from two mixtures under instantaneous conditions. The results obtained are better than conventional methods. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ARTCom.2009.190 | Kottayam, Kerala |
Keywords | Field | DocType |
efficient algorithm,conventional method,underdetermined blind source separation,kurtosis maximization method,audio signal,source signal,audio mixtures,instantaneous condition,time frequency masking,remaining signal,blind source separation,time frequency,attenuation,fourier transforms,projection pursuit,data mining,audio signal processing,time frequency analysis | Audio signal,Pattern recognition,Projection pursuit,Computer science,Algorithm,Fourier transform,Time–frequency analysis,Artificial intelligence,Audio signal processing,Blind signal separation,Maximization,Kurtosis | Conference |
ISBN | Citations | PageRank |
978-0-7695-3845-7 | 0 | 0.34 |
References | Authors | |
9 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Malay Kishore Dutta | 1 | 144 | 50.33 |
| Phalguni Gupta | 2 | 805 | 82.58 |
| Vinay K. Pathak | 3 | 29 | 5.20 |