Abstract
Humans possess an extremely flexible sound analysis ability to separate mixed sounds. Several methods, to realize automated sound source separation, have been proposed. The most of them assume certain assumptions on the measurement and the sound sources such as multiple microphones and non-overlapping spectra. It is better to make the assumptions looser. We have also proposed a monaural-sound source separation algorithm based on the time change differences of the power spectra for mostly overlapping sounds. However, the algorithm assumes that the mixed sound is composed of two sounds. In this paper, we propose an improved monaural-sound source separation algorithm, which can separate a mixed sound composed of more than two sounds without the knowledge of the sound source number.
| Original language | English |
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| Title of host publication | Proceedings of the 8th IASTED International Conference on Signal and Image Processing, SIP 2006 |
| Pages | 436-442 |
| Number of pages | 7 |
| Publication status | Published - 2006 |
| Event | 8th IASTED International Conference on Signal and Image Processing, SIP 2006 and the 10th IASTED International Conference on Internet and Multimedia Systems and Applications, IMSA 2006 - Honolulu, HI Duration: 2006 Aug 14 → 2006 Aug 16 |
Other
| Other | 8th IASTED International Conference on Signal and Image Processing, SIP 2006 and the 10th IASTED International Conference on Internet and Multimedia Systems and Applications, IMSA 2006 |
|---|---|
| City | Honolulu, HI |
| Period | 06/8/14 → 06/8/16 |
Keywords
- Blind source separation
- Matrix equation
- Modeling
- Monaural-sound
- Power spectra
- Sound number estimation
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Signal Processing