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This paper presents a novel double-layer neighborhood graph index for acceleration of similarity search that accomplishes fast querybyexample spoken term detection (STD). When a query segment is given, our proposed STD method finds similar segments to the query from an utterance data set by efficient similarity search that traverses the double-layer neighborhood graph (DLG) with a low computational...
This paper proposes a new feature representation, Bag Of Arcs (BOA) for speech segments. A speech segment in BOA is simply represented as a set of counts for unique arcs in a finite state machine. Similar to the Bag Of Words model (BOW), BOA disregards the order of arcs, and thus, efficiently models speech segments. A strong motivation to use BOA is provided by a fact that the BOA representation is...
This paper proposes discriminative modeling in a high dimensional feature space for spoken document retrieval (SDR). To estimate the parameters of a high dimensional model properly, a large quantity of data is necessary, but there is no such large corpus for document retrieval. This paper employs two approaches to overcome this problem. One is a reranking approach. A baseline system first gives each...
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