Deep spoken keyword spotting: An overview
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 …
and has become a fast-growing technology thanks to the paradigm shift introduced by deep …
Automatic depression analysis using dynamic facial appearance descriptor and dirichlet process fisher encoding
Depression causes mood disorders with noticeable problems in day-to-day activities.
Current methods of assessing depression depend almost entirely on clinical interviews or …
Current methods of assessing depression depend almost entirely on clinical interviews or …
Neural network based end-to-end query by example spoken term detection
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 zero-resource scenario. State-of-the-art approaches primarily rely on dynamic time …
Pairwise learning using multi-lingual bottleneck features for low-resource query-by-example spoken term detection
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 …
language for query-by-example spoken term detection (QbE-STD). We assume that word …
Multilingual bottleneck features for query by example spoken term detection
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 …
bottleneck feature representation of the query and audio document. Here, we present a …