Template-based Keyword Search with pseudo posteriorgrams

Batuhan Gündoğdu, Leda Sarı, Gözde Çetinkaya, Murat Saraçlar · 2016

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 keywords are modeled to be in the same form of the audio search document in an artificial manner and utilizing template-based search methods, the performance of the baseline system is improved.

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