A Robust Approach for Acoustic Noise Suppression in Speech Using ANFIS
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86095942" target="_blank" >RIV/61989100:27240/15:86095942 - isvavai.cz</a>
Result on the web
<a href="http://iris.elf.stuba.sk/JEEEC/data/pdf/6_115-01.pdf" target="_blank" >http://iris.elf.stuba.sk/JEEEC/data/pdf/6_115-01.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.2478/jee-2015-0050" target="_blank" >10.2478/jee-2015-0050</a>
Alternative languages
Result language
angličtina
Original language name
A Robust Approach for Acoustic Noise Suppression in Speech Using ANFIS
Original language description
The authors of this article deals with the implementation of a combination of techniques of the fuzzy system and artificial intelligence in the application area of non-linear noise and interference suppression. This structure used is called an Adaptive Neuro Fuzzy Inference System (ANFIS). This system finds practical use mainly in audio telephone (mobile) communication in a noisy environment (transport, production halls, sports matches, etc). Experimental methods based on the two-input adaptive noise cancellation concept was clearly outlined. Within the experiments carried out, the authors created, based on the ANFIS structure, a comprehensive system for adaptive suppression of unwanted background interference that occurs in audio communication and degrades the audio signal. The system designed has been tested on real voice signals. This article presents the investigation and comparison amongst three distinct approaches to noise cancellation in speech; they are LMS (least mean squares)
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JB - Sensors, detecting elements, measurement and regulation
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of electrical engineering
ISSN
1335-3632
e-ISSN
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Volume of the periodical
66
Issue of the periodical within the volume
6
Country of publishing house
SK - SLOVAKIA
Number of pages
10
Pages from-to
301-310
UT code for WoS article
000368358400001
EID of the result in the Scopus database
2-s2.0-84947568485