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Interface module for Self-supervised Speech Models
git clone git@github.com:atosystem/SSL_Interface.git
cd SSL_Interface
pip install -e .
import torch
import SSL_Interface
import SSL_Interface.configs
import SSL_Interface.interfaces
WS_Interface = SSL_Interface.interfaces.WeightSumInterface(
SSL_Interface.configs.WeightedSumInterfaceConfig(
upstream_feat_dim=768,
upstream_layer_num=13,
normalize=False,
)
)
HConv_Interface = SSL_Interface.interfaces.HierarchicalConvInterface(
SSL_Interface.configs.HierarchicalConvInterfaceConfig(
upstream_feat_dim=768,
upstream_layer_num=13,
normalize=False,
conv_kernel_size=5,
conv_kernel_stride=3,
output_dim=768
)
)
layer, batch_size, seq_len, hidden_size = 13,8,100,768
feats = torch.randn(layer, batch_size, seq_len, hidden_size)
feats = feats.cuda()
WS_Interface = WS_Interface.cuda()
HConv_Interface = HConv_Interface.cuda()
out = WS_Interface(feats)
print(out.shape)
# torch.Size([8, 100, 768])
out = HConv_Interface(feats)
print(out.shape)
# torch.Size([8, 100, 768])
@article{shih_interface_2024,
title={Interface Design for Self-Supervised Speech Models},
author={Yi-Jen Shih and David Harwath},
journal={Interspeech},
year={2024},
publisher={IEEE}
}
FAQs
Interface module for Self-supervised Speech Models
We found that SSL-Interface demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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