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Detection of Sentence Boundaries in Polish Based on Acoustic Cues

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EN
Abstrakty
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In this article the authors investigated and presented the experiments on the sentence boundaries annotation from Polish speech using acoustic cues as a source of information. The main result of the investigation is an algorithm for detection of the syntactic boundaries appearing in the places of punctuation marks. In the first stage, the algorithm detects pauses and divides a speech signal into segments. In the second stage, it verifies the configuration of acoustic features and puts hypotheses of the positions of punctuation marks. Classification is performed with parameters describing phone duration and energy, speaking rate, fundamental frequency contours and frequency bands. The best results were achieved for Naive Bayes classifier. The efficiency of the algorithm is 52% precision and 98% recall. Another significant outcome of the research is statistical models of acoustic cues correlated with punctuation in spoken Polish.
Rocznik
Strony
233--243
Opis fizyczny
Bibliogr. 52 poz., tab., wykr.
Twórcy
autor
  • Department of Computer Science, Electronics and Telecommunications, AGH University of Science and Technology, Al. Adama Mickiewicza 30, 30-059 Krakow, Poland
autor
  • Department of Computer Science, Electronics and Telecommunications, AGH University of Science and Technology, Al. Adama Mickiewicza 30, 30-059 Krakow, Poland
  • Techmo sp. z o.o., Poland techmo.pl
Bibliografia
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Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-79c0cc15-a012-4e4d-8df2-033b048d46c0
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