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STEJSKAL, V. ESPOSITO, A.
Originální název
Spectral flatness method based empty pause detection in noisy and clean speech conditions
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
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 in spontaneous 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 values. Experimental results show that its efficacy is comparable with standard VADs.
Klíčová slova
speech, pause detection, noise
Klíčová slova v angličtině
Autoři
STEJSKAL, V.; ESPOSITO, A.
Rok RIV
2006
Vydáno
1. 1. 2006
Nakladatel
Institute of Radio Engineering and Electronics AS CR
Místo
Praha
ISBN
8086269159
Kniha
16th Czech-German Workshop on Speech Processing
Strany od
125
Strany do
254
Strany počet
130
BibTex
@inproceedings{BUT24827, author="Vojtěch {Stejskal} and Anna {Esposito}", title="Spectral flatness method based empty pause detection in noisy and clean speech conditions", booktitle="16th Czech-German Workshop on Speech Processing", year="2006", pages="130", publisher="Institute of Radio Engineering and Electronics AS CR", address="Praha", isbn="8086269159" }