2015
DOI: 10.15439/2015f341
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Word detection in recorded speech using textual queries

Abstract: Abstract-The paper presents unsupervised method for word detection in recorded spoken language signal. The method is based on examining signal similarity of two analyzed media description: registered voice and a word (textual query) synthesized by using Text-to-Speech tools. The descriptions of media were given by a sequence of Mel-Frequency Cepstral Coefficients or Human-Factor Cepstral Coefficients. Dynamic Time Warping algorithm has been applied to provide time alignment of the given media description. The … Show more

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Cited by 3 publications
(13 citation statements)
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“…This paper considers the same use case as in [1]. In this approach the KWS method supports human operator in searching for specific words in a given speech medium.…”
Section: A Methods Backgroundmentioning
confidence: 99%
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“…This paper considers the same use case as in [1]. In this approach the KWS method supports human operator in searching for specific words in a given speech medium.…”
Section: A Methods Backgroundmentioning
confidence: 99%
“…Using textual query and TTS make it easy to extend the approach to reflect language variations assumed in the scenario, to search for the same word translated to several languages [1].…”
Section: Textual Querymentioning
confidence: 99%
See 3 more Smart Citations