Speech Enhancement with Local Adaptive Rank-Order Filtering

Authors

  • Vitaly Kober CICESE
  • Victor Hugo Diaz Ramirez Instituto Politécnico Nacional - CITEDI
  • Yuma Sandoval Ibarra Instituto Politécnico Nacional - CITEDI

DOI:

https://doi.org/10.13053/cys-18-1-1583

Keywords:

Speech enhancement, local adaptive filtering, rank-order statistics, musical noise, intelligibility.

Abstract

A local adaptive algorithm for speech enhancement is presented. The algorithm is based on calculation of the rank-order statistics of an input speech signal over a moving window. The algorithm varies the size and contents of a sliding window signal as well as an estimation function employed for recovering a clean speech signal from a noisy signal. The algorithm improves the quality of a speech signal preserving its intelligibility. The performance of the algorithm for suppressing additive noise in an input test speech signal is compared with that of common speech enhancement algorithms in terms of objective metrics. la misma. sed approach. As an example, the representation of iris images through functional data for recognition tasks was used. The paper presents experiments and results of applying this approach to the recognition of iris images, demonstrating its effectiveness.

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Published

2014-04-03

Issue

Vol. 18 No. 1 (2014): 18(1) January-March 2014

Section

Articles

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