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Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F06%3APU63412" target="_blank" >RIV/00216305:26220/06:PU63412 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Empty pause detection in noisy and clean speech conditions

Popis výsledku v původním jazyce

Successful pause detection becomes an important part in the process of speech recognition and speech coding as well as in the biometrical field (stress detection) and human-machine interaction. Nowadays, only a few of proposed algorithms are able to reflect various noise conditions. This is considered in presented paper which results from research that has been made at the International Institute for Advanced Scientific Studies (IIASS) and proposes novel method for non-speech activity pause detection inspontaneous speech recordings made in noisy environments. The input signal is transformed into log spectral energy and is divided into specific frequency bands. Each band is smoothed and tracked by dynamically adjusted thresholds based on noise energy estimation. Thresholds are adapted taking into account the dynamic changes of the speech signal under environmental noise. The proposed method run in real time and does not require a priori knowledge of the SNR and a priori threshold value

Název v anglickém jazyce

Empty pause detection in noisy and clean speech conditions

Popis výsledku anglicky

Successful pause detection becomes an important part in the process of speech recognition and speech coding as well as in the biometrical field (stress detection) and human-machine interaction. Nowadays, only a few of proposed algorithms are able to reflect various noise conditions. This is considered in presented paper which results from research that has been made at the International Institute for Advanced Scientific Studies (IIASS) and proposes novel method for non-speech activity pause detection inspontaneous speech recordings made in noisy environments. The input signal is transformed into log spectral energy and is divided into specific frequency bands. Each band is smoothed and tracked by dynamically adjusted thresholds based on noise energy estimation. Thresholds are adapted taking into account the dynamic changes of the speech signal under environmental noise. The proposed method run in real time and does not require a priori knowledge of the SNR and a priori threshold value

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2006

Kód důvěrnosti údajů

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

Název statě ve sborníku

16th Czech-German Workshop on Speech Processing

ISBN

8086269159

ISSN

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e-ISSN

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Počet stran výsledku

130

Strana od-do

125-254

Název nakladatele

Institute of Radio Engineering and Electronics AS CR

Místo vydání

Praha

Místo konání akce

Praha

Datum konání akce

27. 9. 2006

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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