Single-Ended Quality Measurement of Noise Suppressed Speech Based on Kullback-Leibler Distances
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| Title | Single-Ended Quality Measurement of Noise Suppressed Speech Based on Kullback-Leibler Distances |
| Authors | |
| Abstract | In this paper, a single-ended quality measurement algorithm for noise suppressed speech is described.The proposed algorithm computes fast approximations of Kullback-Leibler distances between Gaussian mixture (GM) reference models of clean, noise corrupted, and noise suppressed speech and a GM model trained online on the test speech signal. The distances, together with a spectral flatness measure, are mapped to an estimated quality score via a support vector regressor. Experimental results show that substantial improvement in performance and complexity can be attained, relative to the current state-of-art single-ended ITU-T P.563 algorithm. Due to its modular architecture, the proposed algorithm can be easily configured to also perform signal distortion and background intrusiveness measurement, a functionality not available with current standard algorithms. |
| Publisher | ACADEMY PUBLISHER |
| Date | 2007-09-01 |
| Source | Journal of Multimedia Vol 2, No 5 (2007) |
| Rights | Copyright © ACADEMY PUBLISHER - All Rights Reserved.To request permission, please check out URL: http://www.academypublisher.com/copyrightpermission.html. |