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| author | Jan Buethe <jbuethe@amazon.de> | 2023-10-19 22:34:13 +0300 |
|---|---|---|
| committer | Jan Buethe <jbuethe@amazon.de> | 2023-10-19 22:34:13 +0300 |
| commit | 055c6830189acf0d95422d16bf457344b13b819d (patch) | |
| tree | fed4c20dda693a5db7417c4b2f34b3bfe2d165d7 | |
| parent | 8d43b185b2bb44841cb9b13e6dc1f4f30da0db87 (diff) | |
added LACE/NoLACE checkpoint URL
| -rw-r--r-- | dnn/torch/osce/README.md | 2 |
1 files changed, 2 insertions, 0 deletions
diff --git a/dnn/torch/osce/README.md b/dnn/torch/osce/README.md index 40cf72f8..b3a58655 100644 --- a/dnn/torch/osce/README.md +++ b/dnn/torch/osce/README.md @@ -32,6 +32,8 @@ Generating inference data is analogous to generating training data. Given an ite The folder item1.se then serves as input for the test_model.py script or for the --testdata argument of train_model.py resp. adv_train_model.py +Checkpoints of pre-trained models are located here https://media.xiph.org/lpcnet/models/lace-20231019.tar.gz. + ## Regression loss based training Create a default setup for LACE or NoLACE via |