Gozde Cetinkaya

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In this work, a template-based search approach is adopted for the Keyword Search (KWS) problem on two of the low-resource languages (Turkish and Swahili). In low-resource languages, the use of Large Vocabulary Continuous Speech Recognition (LVCSR) systems in KWS tasks may perform poorly especially on out-of-vocabulary words. In the proposed method, the(More)
In this study, we present a pre-filtering method for dynamic time warping (DTW) to improve the efficiency of a posteriorgram based keyword search (KWS) system. The ultimate aim is to improve the performance of a large vocabulary continuous speech recognition (LVCSR) based KWS system using the posteriorgram based KWS approach. We use phonetic posteriorgrams(More)
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