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lucasnewman
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best-rq-pytorch
Implementation of BEST-RQ - a model for self-supervised learning of speech signals using a random projection quantizer, in Pytorch.
MIT License
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Beartype Issue
#8
psilonpneuma
opened
1 month ago
0
Qustion about the implementation
#7
ddicee
opened
5 months ago
0
Pre-training cost of BEST-RQ
#6
sausage-333
opened
5 months ago
0
What are the GPU memory specs needed to run pretraining and kmeans?
#5
xanguera
opened
7 months ago
1
The vision of CUDA torch torchaudio torchvision
#4
a897456
opened
8 months ago
0
What is the final result like?
#3
a897456
opened
8 months ago
2
changed three parameters: sample_rate win_length and hop_length
#2
a897456
opened
8 months ago
2
Missing Convolution Subsampling?
#1
fmac2000
opened
9 months ago
1