Work

Musical Sound Separation Based on Binary Time-Frequency Masking

Year: 2009

Type: article

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.

Source: EURASIP Journal on Audio Speech and Music Processing

DOI: 10.1155/2009/130567

Authors: Yipeng Li, DeLiang Wang

Institution: The Ohio State University

Language: English

Topic: Music and Audio Processing

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,890

OpenAlex ID: W1970484154

FWCI: 1.576

Cites: 25

Cited by: 6

Related to: 10