Empty pause detection in noisy and clean speech conditions

Result code in 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>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Empty pause detection in noisy and clean speech conditions

Original language description

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

Czech name

Detekce prázdných pauz v podmínkách zašuměné a čisté řeči

Czech description

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

Type

D - Article in proceedings

CEP classification

JA - Electronics and optoelectronics

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

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

Publication year

2006

Confidentiality

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

Article name in the collection

16th Czech-German Workshop on Speech Processing

ISBN

8086269159

ISSN

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e-ISSN

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Number of pages

130

Pages from-to

125-254

Publisher name

Institute of Radio Engineering and Electronics AS CR

Place of publication

Praha

Event location

Praha

Event date

Sep 27, 2006

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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