2023
Once-for-All Sequence Compression for Self-Supervised Speech Models
ICASSP 2023accepted
The sequence length along the time axis is often the dominant factor of the computation in speech processing. Works have been proposed to reduce the sequence length for lowering the computational cost in self-supervised speech models. However, different downstream tasks have different tolerance of s…