Datasets:

---

cmu-mlsp

/

wavlm-large_layer21-librispeech-asr100h

like 0

Follow

Carnegie Mellon Machine Learning for Signal Processing Group 24

Xet hash:

44857855e91de3673bfe1f6c07d9882ce53d72e6d526c09f7391419d3817acee

Size of remote file:

453 MB

·

SHA256:

abfe149dd066fcbad0f222861f6e5170f97401edd9161894a3e7664e4aeec28b

Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.