Recognition System Based on DTW and DAS Beamforming

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F15%3A43874023" target="_blank" >RIV/70883521:28140/15:43874023 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/MCSI.2015.49" target="_blank" >http://dx.doi.org/10.1109/MCSI.2015.49</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/MCSI.2015.49" target="_blank" >10.1109/MCSI.2015.49</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Recognition System Based on DTW and DAS Beamforming

Popis výsledku v původním jazyce

In this article a recognition system of isolated sequences based on noise filtration by microphone array is described. The configuration of microphone array has an important issue for clarification of beamformer spatial filtration. Beamforming is a method for processing microphone array data to produce images that represent the distribution of the acoustic source strength. Recognition systems are based on classification systems pattern. In these systems, sounds or sequences of sounds, such as phonemes,groups of phonemes, or words are modeled by distinct classes. The goal of the recognition system is to estimate the correct sequence of classes, sounds, that make up the incoming utterance and hence, the sounds that were reproduced. In particular, many new distance measures between time series have been introduced. The recognition system based on time series analysis, where the Dynamic time warping algorithm based on spatial filtration preprocessing is discussed.

Název v anglickém jazyce

Recognition System Based on DTW and DAS Beamforming

Popis výsledku anglicky

In this article a recognition system of isolated sequences based on noise filtration by microphone array is described. The configuration of microphone array has an important issue for clarification of beamformer spatial filtration. Beamforming is a method for processing microphone array data to produce images that represent the distribution of the acoustic source strength. Recognition systems are based on classification systems pattern. In these systems, sounds or sequences of sounds, such as phonemes,groups of phonemes, or words are modeled by distinct classes. The goal of the recognition system is to estimate the correct sequence of classes, sounds, that make up the incoming utterance and hence, the sounds that were reproduced. In particular, many new distance measures between time series have been introduced. The recognition system based on time series analysis, where the Dynamic time warping algorithm based on spatial filtration preprocessing is discussed.

Druh

D - Stať ve sborníku

CEP obor

JB - Senzory, čidla, měření a regulace

OECD FORD obor

—

Projekt

—

Návaznosti

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

2015 Second International Conference on Mathematics and Computers in Sciences and in Industry

ISBN

978-1-4799-8672-9

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

176-181

Název nakladatele

IEEE

Místo vydání

New Jersey, Piscataway

Místo konání akce

Sliema

Datum konání akce

17. 8. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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