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eess.AS2024
Property Neurons in Self-Supervised Speech Transformers
Tzu-Quan Lin, Guan-Ting Lin, Hung-yi Lee +1
There have been many studies on analyzing self-supervised speech Transformers, in particular, with layer-wise analysis. It is, however, desirable to have an approach that can pinpo…
cs.SD2024
DAISY: Data Adaptive Self-Supervised Early Exit for Speech Representation Models
Tzu-Quan Lin, Hung-yi Lee, Hao Tang
Self-supervised speech models have shown to be useful for various tasks, but their large size limits the use in devices with low computing power and memory. In this work, we explor…