Query-by-example search often uses dynamic time warping (DTW) for comparing queries
and proposed matching segments. Recent work has shown that comparing speech …

Query-by-example (QbE) speech search is the task of matching spoken queries to
utterances within a search collection. In low-or zero-resource settings, QbE search is often …

Acoustic word embeddings (AWEs) have been popular in low-resource query-by-example
speech search. They are using vector distances to find the spoken query in search content …

Query-by-Example approach of spoken content retrieval has gained much attention because
of its feasibility in the absence of speech recognition and its applicability in a multilingual …

This paper describes the system developed by the NNI team for the Query-by-Example
Search on Speech Task (QUESST) in the MediaEval 2015 evaluation. Our submitted system …

Comparing spoken segments is a central operation to speech processing. Traditional
approaches in this area have favored frame-level dynamic programming algorithms, such as …

This paper documents the significant components of a state-ofthe-art language-independent
query-by-example spoken term detection system designed for the Query by Example Search …

This research addresses the challenge of developing speech applications for zero-resource
languages that lack labelled data. It specifically uses acoustic word embedding (AWE)--fixed …

Query-by-example spoken document retrieval (QbESDR) aims at finding those documents in
a set that include a given spoken query. Current approaches are, in general, not valid for …

We propose a novel technique that learns a low-dimensional feature representation from
unlabeled data of a target language, and labeled data from a nontarget language. The …