Spoken content retrieval refers to directly indexing and retrieving spoken content based on
the audio rather than text descriptions. This potentially eliminates the requirement of …

In the last years, the task of Query-by-Example Spoken Term Detection (QbE-STD), which
aims to find occurrences of a spoken query in a set of audio documents, has gained the …

The task of zero resource query-by-example keyword search has received much attention in
recent years as the speech technology needs of the developing world grow. These systems …

This article focuses on the problem of query by example spoken term detection (QbE-STD)
in zero-resource scenario. State-of-the-art approaches primarily rely on dynamic time …

In this paper, we describe the “Query by Example Search on Speech Task”(QUESST,
formerly SWS,“Spoken Web Search”), held as part of the MediaEval 2014 evaluation …

Spoken term detection (STD) aims at retrieving data from a speech repository given a textual
representation of the search term. Nowadays, it is receiving much interest due to the large …

In this work, we address the problem of query by example spoken term detection (QbE-STD)
in zero-resource scenario. State of the art solutions usually rely on dynamic time warping …

In this paper, we describe the “Query by Example Search on Speech Task”(QUESST), held
as part of the MediaEval 2015 evaluation campaign. As in previous years, the proposed task …

Retrieving spoken content with spoken queries, or query-by-example spoken term detection
(STD), is attractive because it makes possible the matching of signals directly on the …

The large amount of information stored in audio and video repositories makes search on
speech (SoS) a challenging area that is continuously receiving much interest. Within SoS …