A paper appears in ICASSP 2022
Our paper with Alan Zhou (undergraduate student at UC Berkeley) appeared in ICASSP 2022.
We propose a technique to infer values and shapes of words in convolutional layers of unsupervised classifiers. It can help detect where in the network phone contrasts fail to get encoded.
Paper: ICASSP 2022
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Shapes of words in intermediate convolutional layers.