Spoken keyword spotting (KWS) deals with the identification of keywords in audio streams
and has become a fast-growing technology thanks to the paradigm shift introduced by deep …

Depression causes mood disorders with noticeable problems in day-to-day activities.
Current methods of assessing depression depend almost entirely on clinical interviews or …

Keyword spotting (KWS) is a task to recognize a keyword or a particular command in a
continuous audio stream, which can be effectively applied to a voice trigger system that …

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 …

State of the art solutions to query by example spoken term detection (QbE-STD) rely on
bottleneck feature representation of the query and audio document. Here, we present a …

We propose to learn a low-dimensional feature representation for multiple languages
without access to their manual transcription. The multilingual features are extracted from a …

We propose to use a feature representation obtained by pairwise learning in a low-resource
language for query-by-example spoken term detection (QbE-STD). We assume that word …

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 …