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SMÉKAL, Z.; STEJSKAL, V.; ESPOSITO, A.
Originální název
Cognitive Role of Speech Pauses and Algorithmic Consideration for their Processing
Anglický název
Druh
Článek recenzovaný mimo WoS a Scopus
Originální abstrakt
This study investigates pausing strategies, focusing the attention on empty speech pauses. A cross-modal analysis (video and audio) of spontaneous narratives produced by male and female children and adults showed that a remarkable amount of empty speech pauses was used to signal new concepts in the speech flow and to segment discourse units such as clauses and paragraphs. Based on these results, an adaptive mathematical model for pause distribution was suggested, that exploits, as pause features, the absence of signal and/or the changes of energy over different acoustic dimensions strongly related to the auditory perception. These considerations inspired the formulation and the implementation of two pause detection procedures that proved to be more effective than the Likelihood Ratio Test (LRT) and Long-Term Spectral Divergence (LTSD) algorithms recently proposed in literature and applied for Voice Activity Detection (VAD).
Anglický abstrakt
Klíčová slova
Speech a empty pauses discrimination, adaptive algorithms
Klíčová slova v angličtině
Autoři
Rok RIV
2010
Vydáno
01.06.2008
Nakladatel
World Scientific Publications
Místo
Singapore
ISSN
0218-0014
Periodikum
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
Svazek
22
Číslo
5
Stát
Singapurská republika
Strany od
1073
Strany do
1088
Strany počet
16
BibTex
@article{BUT47246, author="Zdeněk {Smékal} and Vojtěch {Stejskal} and Anna {Esposito}", title="Cognitive Role of Speech Pauses and Algorithmic Consideration for their Processing", journal="INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE", year="2008", volume="22", number="5", pages="1073--1088", issn="0218-0014" }