Get 20M+ Full-Text Papers For Less Than $1.50/day. Subscribe now for You or Your Team.

Learn More →

Speech enhancement using robust estimators and rank-order statistics

Speech enhancement using robust estimators and rank-order statistics Purpose– The purpose of this paper is to design robust estimators for speech enhancement by incorporation of calculation rank-order statistics and locally adaptive neighborhoods. The proposed estimators are able to increase the speech quality of a noisy signal, to preserve better speech intelligibility, and to introduce less artifacts comparing with known speech enhancement estimators. Design/methodology/approach– The authors design a novel speech enhancement algorithm based on rank-order statistics and local adaptive signal processing to improve the accuracy of existing speech enhancement estimators, in terms of speech quality, intelligibility, and introduction of artificial artifacts. Findings– The authors found that by using the proposed estimators for speech enhancement it is obtained a better adaptation to nonstationary characteristics of speech and noise processes comparing with that of known speech enhancement estimators. The proposed algorithm increases speech quality, preserves better speech intelligibility, and introduces less artifacts comparing with known speech enhancement estimators. Research limitations/implications– The proposed approach for speech enhancement is a locally adaptive signal processing performed for each element of a noisy speech signal. Thus, the main limitation of the proposed approach is an increase of the computational complexity compared with that of nonadaptive conventional techniques. Practical implications– In order to perform real-time speech enhancement with the proposed approach, it is recommended to use a digital system with a fast processor. Another option is by using a parallel architecture such as a FPGA. Social implications– Nowadays, mobile and internet telecommunication systems are of paramount importance in the society. The proposed algorithm brings a new technological approach to speech enhancement for real-life applications that require to reduce noise, to preserve intelligibility and to avoid listener’s fatigue. The proposed technology, can be used in inhomogeneous environments in where the statistical properties of speech and ambience noise change with time. Originality/value– The authors propose a novel local adaptive algorithm for robust speech enhancement by incorporation of calculation of rank-order statistics and local adaptive neighborhoods. The proposed algorithm is able to adjust itself in response to changes in the statistical properties of ambience noise. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering Emerald Publishing

Loading next page...
 
/lp/emerald-publishing/speech-enhancement-using-robust-estimators-and-rank-order-statistics-n0qYCXRAr5

References (23)

Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
0332-1649
DOI
10.1108/COMPEL-05-2015-0209
Publisher site
See Article on Publisher Site

Abstract

Purpose– The purpose of this paper is to design robust estimators for speech enhancement by incorporation of calculation rank-order statistics and locally adaptive neighborhoods. The proposed estimators are able to increase the speech quality of a noisy signal, to preserve better speech intelligibility, and to introduce less artifacts comparing with known speech enhancement estimators. Design/methodology/approach– The authors design a novel speech enhancement algorithm based on rank-order statistics and local adaptive signal processing to improve the accuracy of existing speech enhancement estimators, in terms of speech quality, intelligibility, and introduction of artificial artifacts. Findings– The authors found that by using the proposed estimators for speech enhancement it is obtained a better adaptation to nonstationary characteristics of speech and noise processes comparing with that of known speech enhancement estimators. The proposed algorithm increases speech quality, preserves better speech intelligibility, and introduces less artifacts comparing with known speech enhancement estimators. Research limitations/implications– The proposed approach for speech enhancement is a locally adaptive signal processing performed for each element of a noisy speech signal. Thus, the main limitation of the proposed approach is an increase of the computational complexity compared with that of nonadaptive conventional techniques. Practical implications– In order to perform real-time speech enhancement with the proposed approach, it is recommended to use a digital system with a fast processor. Another option is by using a parallel architecture such as a FPGA. Social implications– Nowadays, mobile and internet telecommunication systems are of paramount importance in the society. The proposed algorithm brings a new technological approach to speech enhancement for real-life applications that require to reduce noise, to preserve intelligibility and to avoid listener’s fatigue. The proposed technology, can be used in inhomogeneous environments in where the statistical properties of speech and ambience noise change with time. Originality/value– The authors propose a novel local adaptive algorithm for robust speech enhancement by incorporation of calculation of rank-order statistics and local adaptive neighborhoods. The proposed algorithm is able to adjust itself in response to changes in the statistical properties of ambience noise.

Journal

COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic EngineeringEmerald Publishing

Published: May 3, 2016

There are no references for this article.