Single Channel Speech Separation with Frame-based Summary Autocorrelation Function Analysis. (2016)

• Record Type: Journal Article
• Authors: Raghi, E.R.; Lekshmi, M.S.
• Is Part Of: Procedia technology. Volume 24(2016)
• Page Start: 1074
• Page End: 1079
• Publication Date: 2016
• Subjects: Summary autocorrelation function -- Modulation spectrum -- Periodicity detection; Technology -- Congresses; Technology -- Periodicals; Engineering -- Congresses; Engineering -- Periodicals; Engineering; Technology; Conference proceedings; Periodicals; 605
• DOI: 10.1016/j.protcy.2016.05.239
• Languages: English
• ISSNs: 2212-0173

Abstract

Abstract: Single channel speech separation system with frame based pitch range estimation is presented. The system decomposes the input mixture speech into frames and pitch of the speech is estimated in each frame of modulation spectrum by using summary autocorrelation function (SACF) analysis. In this method, each frame is divided into two, above and below 1 KHz and compute generalized autocorrelation for periodicity detection. By using this pitch range, a mask is created to filter the target speech from noisy mixture speech. Performance evaluation of the proposed system shows a better response compared to the existing methods.