Name
Abstract | ||
|---|---|---|
The objective of audio source separation is to separate sound mixtures into individual streams based on the sources. It has many potential applications, one of which is in a system for perceptually-based search and retrieval of audio data from multimedia databases.The task of audio source separation is very difficult if all audio data are mixed into a single track. In this paper, we restrict the single track recordings to instrumental music. Hence we attempt to construct separate streams of data each consisting of the sound of a single instrument. A model-based approach is used. The architecture of the system is based on a cerebellar-based (CMAC) fuzzy neural network. The subjective test results of our experiments on the separation of 2-source audio mixtures shows that our approach is promising. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/ICARCV.2004.1469433 | 2004 8TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION, VOLS 1-3 |
Keywords | Field | DocType |
single channel, audio source separation, musical data mining, CMAC | Speech coding,Audio mining,Computer science,Speech recognition,Fuzzy neural nets,Audio signal processing,Artificial neural network,Sound recording and reproduction,Source separation | Conference |
ISSN | Citations | PageRank |
2474-2953 | 0 | 0.34 |
References | Authors | |
4 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sintiani Dewi Teddy | 1 | 4 | 1.55 |
| Edmund Ming-Kit Lai | 2 | 120 | 58.89 |