%20with%20text-based%20keyword%20enrollment.%20For%20every%20input%20frame%2C%20the%20proposed%20method%20finds%20the%20optimal%20alignment%20ending%20at%20the%20frame%20using%20connectionist%20temporal%20classification%20(CTC)%20and%20aggregates%20the%20frame-level%20acoustic%20embedding%20(AE)%20to%20obtain%20higher-level%20(i.e.%2C%20character%2C%20word%2C%20or%20phrase)%20AE%20that%20aligns%20with%20the%20text%20embedding%20(TE)%20of%20the%20target%20keyword%20text.%20After%20that%2C%20we%20calculate%20the%20similarity%20of%20the%20aggregated%20AE%20and%20the%20TE.%20To%20the%20best%20of%20our%20knowledge%2C%20this%20is%20the%20first%20attempt%20to%20dynamically%20align%20the%20audio%20and%20the%20keyword%20text%20on-the-fly%20to%20attain%20the%20joint%20audio-text%20embedding%20for%20KWS.%20Despite%20operating%20in%20a%20streaming%20fashion%2C%20our%20approach%20achieves%20competitive%20performance%20on%20the%20LibriPhrase%20dataset%20compared%20to%20the%20non-streaming%20methods%20with%20a%20mere%20155K%20model%20parameters%20and%20a%20decoding%20algorithm%20with%20time%20complexity%20O(U)%2C%20where%20U%20is%20the%20length%20of%20the%20target%20keyword%20at%20inference%20time.)
%2C%20called%20embeddings%2C%20as%20an%20automated%20form%20of%20traditional%20feature%20engineering.%20For%20trained%20DNNs%2C%20we%20show%20that%20these%20embeddings%20can%20reveal%20interpretable%2C%20high-level%20concepts%20in%20unstructured%20sample%20data.%20We%20use%20these%20embeddings%20in%20natural%20language%20and%20computer%20vision%20tasks%20to%20uncover%20both%20inherent%20heterogeneity%20in%20the%20underlying%20data%20and%20human-understandable%20explanations%20for%20it.%20In%20particular%2C%20we%20find%20empirical%20evidence%20that%20there%20is%20inherent%20separability%20between%20real%20data%20and%20that%20generated%20from%20AI%20models.)
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