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Amel Ben Slimane
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Computer Science & IT Electrical & Electronics Engineering

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On Usable Speech Detection by Linear Multi-Scale Decomposition for Speaker Identification Wajdi Ghezaiel; Amel Ben Slimane; Ezzedine Ben Braiek
International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 6: December 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (553.766 KB) | DOI: 10.11591/ijece.v6i6.pp2766-2772

Abstract

Usable speech is a novel concept of processing co-channel speech data. It is proposed to extract minimally corrupted speech that is considered useful for various speech processing systems. In this paper, we are interested for co-channel speaker identification (SID). We employ a new proposed usable speech extraction method based on the pitch information obtained from linear multi-scale decomposition by discrete wavelet transform. The idea is to retain the speech segments that have only one pitch detected and remove the others. Detected Usable speech was used as input for speaker identification system. The system is evaluated on co-channel speech and results show a significant improvement across various Target to Interferer Ratio (TIR) for speaker identification system.
Co-Authors Ezzedine Ben Braiek Wajdi Ghezaiel