Musical Sound Separation Based on Binary Time-Frequency Masking. (19th July 2009)

• Record Type: Journal Article
• Authors: Li, Yipeng; Wang, DeLiang
• Other Names: Fu Q.-J. Academic Editor.
• Is Part Of: EURASIP journal on audio, speech, and music processing. Volume 2009(2009)
• Publication Date: 2009-07-19
• Subjects: Sound -- Recording and reproducing -- Digital techniques -- Periodicals; Computer sound processing -- Periodicals; Computer sound processing; Sound -- Recording and reproducing -- Digital techniques; Periodicals; Electronic journal; Electronic journals; 620.2
• DOI: 10.1155/2009/130567
• Languages: English
• ISSNs: 1687-4714

Abstract

Abstract : The problem of overlapping harmonics is particularly acute in musical sound separation and has not been addressed adequately. We propose a monaural system based on binary time-frequency masking with an emphasis on robust decisions in time-frequency regions, where harmonics from different sources overlap. Our computational auditory scene analysis system exploits the observation that sounds from the same source tend to have similar spectral envelopes. Quantitative results show that utilizing spectral similarity helps binary decision making in overlapped time-frequency regions and significantly improves separation performance.