A Robust Approach for Acoustic Noise Suppression in Speech Using ANFIS
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
A Robust Approach for Acoustic Noise Suppression in Speech Using ANFIS
Popis výsledku v původním jazyce
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)
Název v anglickém jazyce
A Robust Approach for Acoustic Noise Suppression in Speech Using ANFIS
Popis výsledku anglicky
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)
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
JB - Senzory, čidla, měření a regulace
OECD FORD obor
—
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2015
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Journal of electrical engineering
ISSN
1335-3632
e-ISSN
—
Svazek periodika
66
Číslo periodika v rámci svazku
6
Stát vydavatele periodika
SK - Slovenská republika
Počet stran výsledku
10
Strana od-do
301-310
Kód UT WoS článku
000368358400001
EID výsledku v databázi Scopus
2-s2.0-84947568485