Difference between revisions of "DUMMY PROTOTYPICAL NETWORKS FOR FEW-SHOT OPEN-SET KEYWORD SPOTTING: abstract simplified (18062976)"
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− | In this abstract, a system and technique for processing audio data | + | In this abstract, the authors describe a system and technique for processing audio data. They propose a method called few-shot open-set keyword spotting (FSOS-KWS) using a dummy prototypical network. The process involves determining prototype representations based on support samples associated with different classes. These prototype representations are then used to determine distance metrics for query samples. A dummy prototype representation is also determined in the same metric space. The distance metrics are used to classify each query sample into one of the classes associated with the prototype representations or into an open-set class associated with the dummy prototype representation. |
Revision as of 16:13, 1 October 2023
In this abstract, the authors describe a system and technique for processing audio data. They propose a method called few-shot open-set keyword spotting (FSOS-KWS) using a dummy prototypical network. The process involves determining prototype representations based on support samples associated with different classes. These prototype representations are then used to determine distance metrics for query samples. A dummy prototype representation is also determined in the same metric space. The distance metrics are used to classify each query sample into one of the classes associated with the prototype representations or into an open-set class associated with the dummy prototype representation.