Adaptive noise suppression in voice communication using a neuro-fuzzy inference system
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Adaptive noise suppression in voice communication using a neuro-fuzzy inference system
Original language description
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
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JB - Sensors, detecting elements, measurement and regulation
OECD FORD branch
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Result continuities
Project
<a href="/en/project/EE2.3.30.0016" target="_blank" >EE2.3.30.0016: Opportunities for young researchers</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>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
Article name in the collection
TSP 2015 : 38th International Conference on Telecommunications and Signal Processing July 9-11, 2015. Prague, Czech Republic
ISBN
978-1-4799-8498-5
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
382-386
Publisher name
IEEE
Place of publication
Vienna
Event location
Praha
Event date
Jul 9, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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