The JHU-HLTCOE Spoken Web Search System for MediaEval 2012
نویسندگان
چکیده
We present an overview for a truly zero resource query-byexample search system designed for the 2012 MediaEval Spoken Web Search task. Our system is based on the recently proposed randomized acoustic indexing and logarithmictime search (RAILS) framework. The input is merely the raw acoustic observations for the query and search collection, requiring no trained models whatsoever, not even unsupervised ones. Even still the system is capable of search speeds of at least a thousand times faster than real time, and capable of producing competent zero resource performance.
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تاریخ انتشار 2012