2016
INTERSPEECH
INTERSPEECH 2016
An Engine for Online Video Search in Large Archives of the Holocaust Testimonies
Abstract
In this paper we present an online system for cross-lingual lexical (full-text) searching in the large archive of the Holocaust testimonies. Video interviews recorded in two languages (English and Czech) were automatically transcribed and indexed in order to provide efficient access to the lexical content of the recordings. The engine takes advantage of the state-of-the-art speech recognition system and performs fast spoken term detection (STD), providing direct access to the segments of interviews containing queried words or short phrases.
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Conference Pioneer
— INTERSPEECH 2016
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Interdisciplinary Bridge
— Machine Learning and Speech & Audio
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Keyword Pioneer
— spoken term detection
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Cross-Pollinator
— Deep Learning, Machine Learning, Speech & Audio