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joaoantoniocn
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AM-MobileNet1D
The Additive Margin MobileNet1D is a new light weight deep learning model for Speaker Recognition which is based on the MobileNetV2 architecture and the Additive Margin Softmax (AM-Softmax) loss function.)
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Bump pillow from 5.3.0 to 10.0.1
#17
dependabot[bot]
opened
9 months ago
0
Bump torch from 1.2.0 to 1.13.1
#16
dependabot[bot]
opened
11 months ago
0
Bump scipy from 1.3.1 to 1.10.0
#15
dependabot[bot]
opened
1 year ago
0
Bump pillow from 5.3.0 to 9.3.0
#14
dependabot[bot]
closed
9 months ago
1
Bump joblib from 0.14.0 to 1.2.0
#13
dependabot[bot]
opened
1 year ago
0
Bump numpy from 1.15.4 to 1.22.0
#12
dependabot[bot]
opened
2 years ago
0
Bump pillow from 5.3.0 to 9.0.1
#11
dependabot[bot]
closed
1 year ago
1
Bump pillow from 5.3.0 to 9.0.0
#10
dependabot[bot]
closed
2 years ago
1
Bump pillow from 5.3.0 to 8.3.2
#9
dependabot[bot]
closed
2 years ago
1
Pytorch Mobile
#8
mardaayden
opened
3 years ago
2
Can I get speaker embeddings via AM-MobileNet1D?
#7
mardaayden
opened
3 years ago
2
Bump pillow from 5.3.0 to 8.2.0
#6
dependabot[bot]
closed
2 years ago
1
Bump pillow from 5.3.0 to 8.1.1
#5
dependabot[bot]
closed
3 years ago
1
how to find d_vector of custom length using AM-MobileNet1D model.
#4
alam-botify
opened
3 years ago
3
how to do inference using speaker recognition checkpoint on raw audio file.
#3
alam-botify
opened
3 years ago
11
How to quickly train the model based on the original model for the audio data of the new speaker？
#2
joewale
opened
4 years ago
4
Bump pillow from 5.3.0 to 6.2.0
#1
dependabot[bot]
closed
3 years ago
1