Sound Recognition System Based on Beamforming

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Sound Recognition System Based on Beamforming

Popis výsledku v původním jazyce

In this article a recognition system of isolated sound 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 amethod for processing microphone array data to produce images that represent the distribution of the acoustic source strength. Sound 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 sound recognition system is to estimate the correct sequence of classes, sounds, that make up the incoming utterance and hence, the sounds that were reproduced. Inparticular, many new distance measures between time series have been introduced. The recognition system based on time series analysis, where the Dynamic time warping algorithm is presented.

Název v anglickém jazyce

Sound Recognition System Based on Beamforming

Popis výsledku anglicky

In this article a recognition system of isolated sound 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 amethod for processing microphone array data to produce images that represent the distribution of the acoustic source strength. Sound 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 sound recognition system is to estimate the correct sequence of classes, sounds, that make up the incoming utterance and hence, the sounds that were reproduced. Inparticular, many new distance measures between time series have been introduced. The recognition system based on time series analysis, where the Dynamic time warping algorithm is presented.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

Latest Trends on Communications

ISBN

978-1-61804-235-4

ISSN

1790-5117

e-ISSN

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Počet stran výsledku

5

Strana od-do

45-50

Název nakladatele

Europment

Místo vydání

Rhodes

Místo konání akce

Santorini Island

Datum konání akce

17. 7. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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