Search Results for author:
Found 1 papers, 1 papers with code
Learning Efficient Representations for Keyword Spotting with Triplet Loss
In the past few years, triplet loss-based metric embeddings have become a de-facto standard for several important computer vision problems, most no-tably, person reidentification.
Ranked #1 on
Keyword Spotting
on Google Speech Commands
Cannot find the paper you are looking for? You can
Submit a new open access paper.
