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The standard spoken term detection system architecture and evaluation.
There are different speech information retrieval tasks, including spoken document retrieval (SDR), keyword spotting (KWS), spoken term detection (STD), and query-by-example spoken term detection (QbE STD).
In the first edition (held in 2012), we organized three different tasks, named query-by-example spoken term detection, keyword spotting, and spoken term detection.
Query-by-example spoken term detection is similar, but is based on an acoustic (spoken) input.
The spoken term detection ALBAYZIN 2014 evaluation is integrated within a more general search on speech ALBAYZIN evaluation.
Six different systems were submitted from four different research groups to the spoken term detection ALBAYZIN 2014 evaluation.
The design of the algorithm adopting the spoken term detection approach is focused on the speed of the retrieval.
Much work has addressed this issue by means of spoken document retrieval (SDR), keyword spotting, spoken term detection (STD), query-by-example (QbE) or spoken query approaches.
Discriminative confidence based on multi-layer perceptrons (MLPs) and multiple features has shown significant advantage compared to the widely used lattice-based confidence in spoken term detection (STD).
They aren't even on speaking terms.
The governments are still on speaking terms.
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