9 citations · 22 across the 6 of their papers we have counts for
Showing 2021 · cs.SDShow all
2 papers · 2 filters
cs.SD2021★ 5 cited
Interpreting intermediate convolutional layers in unsupervised acoustic word classification
Gašper Beguš, Alan Zhou
Understanding how deep convolutional neural networks classify data has been subject to extensive research. This paper proposes a technique to visualize and interpret intermediate l…
cs.SD2021★ 9 cited
Interpreting intermediate convolutional layers of generative CNNs trained on waveforms
Gašper Beguš, Alan Zhou
This paper presents a technique to interpret and visualize intermediate layers in generative CNNs trained on raw speech data in an unsupervised manner. We argue that averaging over…