Adaptive noise suppression in voice communication using a neuro-fuzzy inference system

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86096318" target="_blank" >RIV/61989100:27240/15:86096318 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7296288&newsearch=true&queryText=Adaptive%20noise%20suppression%20in%20voice%20communication%20using%20a%20neuro-fuzzy%20inference%20system" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7296288&newsearch=true&queryText=Adaptive%20noise%20suppression%20in%20voice%20communication%20using%20a%20neuro-fuzzy%20inference%20system</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TSP.2015.7296288" target="_blank" >10.1109/TSP.2015.7296288</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Adaptive noise suppression in voice communication using a neuro-fuzzy inference system

Popis výsledku v původním jazyce

This paper describes the implementation of a combination of techniques of the fuzzy system and artificial intelligence in the application area of non-linear suppression of noise and interference. The structure used is called ANFIS (Adaptive Neuro Fuzzy Inference System). This system finds practical use mainly in audio telephone (mobile) communication in a noisy environment (transport, production halls, sports matches, etc.). Within the experiments carried out, the authors created, based on the ANFIS structure, a comprehensive system for the adaptive suppression of unwanted background interference that occurs in audio communication and which degrades the audio signal. The system designed has been tested on real voice signals. Noise cancellation performance of the algorithms has been compared by means of SSNR (Segmental Signal to Noise Ratio) and DTW (Dynamic Time Warping). Also processing durations of the algorithms are determined for evaluating the possibility of real time implementati

Název v anglickém jazyce

Adaptive noise suppression in voice communication using a neuro-fuzzy inference system

Popis výsledku anglicky

This paper describes the implementation of a combination of techniques of the fuzzy system and artificial intelligence in the application area of non-linear suppression of noise and interference. The structure used is called ANFIS (Adaptive Neuro Fuzzy Inference System). This system finds practical use mainly in audio telephone (mobile) communication in a noisy environment (transport, production halls, sports matches, etc.). Within the experiments carried out, the authors created, based on the ANFIS structure, a comprehensive system for the adaptive suppression of unwanted background interference that occurs in audio communication and which degrades the audio signal. The system designed has been tested on real voice signals. Noise cancellation performance of the algorithms has been compared by means of SSNR (Segmental Signal to Noise Ratio) and DTW (Dynamic Time Warping). Also processing durations of the algorithms are determined for evaluating the possibility of real time implementati

Druh

D - Stať ve sborníku

CEP obor

JB - Senzory, čidla, měření a regulace

OECD FORD obor

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Projekt

<a href="/cs/project/EE2.3.30.0016" target="_blank" >EE2.3.30.0016: Příležitost pro mladé výzkumníky</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

TSP 2015 : 38th International Conference on Telecommunications and Signal Processing July 9-11, 2015. Prague, Czech Republic

ISBN

978-1-4799-8498-5

ISSN

—

e-ISSN

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Počet stran výsledku

5

Strana od-do

382-386

Název nakladatele

IEEE

Místo vydání

Vienna

Místo konání akce

Praha

Datum konání akce

9. 7. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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