Update README.md

README.md

@@ -6,21 +6,21 @@ tags:
 datasets:
 - Wsj0MixVar
 - sep_clean
+license: cc-by-sa-3.0
 inference: false
 ---
 ## Asteroid model
 
 ## Description:
-Code: The code corresponding to this model card can be found in the asteroid toolkit @ https://github.com/asteroid-team/asteroid, under "egs/wsj0-mix-var", where the recipe is stored.
+- Code: The code corresponding to this pretrained model can be found in [this asteroid recipe](https://github.com/asteroid-team/asteroid/tree/master/egs/wsj0-mix-var/Multi-Decoder-DPRNN).
 
-Paper: "Multi-Decoder DPRNN: High Accuracy Source Counting and Separation",
-        Junzhe Zhu, Raymond Yeh, Mark Hasegawa-Johnson. ICASSP(2021). https://ieeexplore.ieee.org/document/9414205
+- [Paper](https://ieeexplore.ieee.org/document/9414205): "Multi-Decoder DPRNN: High Accuracy Source Counting and Separation", Junzhe Zhu, Raymond Yeh, Mark Hasegawa-Johnson. ICASSP(2021). 
 
-Summary: This model achieves SOTA on the problem of source separation with an unknown number of speakers. It uses multiple decoder heads(each tackling a distinct number of speakers), in addition to a classifier head that selects which decoder head to use.
+- Summary: This model achieves SOTA on the problem of source separation with an unknown number of speakers. It uses multiple decoder heads(each tackling a distinct number of speakers), in addition to a classifier head that selects which decoder head to use.
 
-Demo Page: https://junzhejosephzhu.github.io/Multi-Decoder-DPRNN/
+- [Demo Page](https://junzhejosephzhu.github.io/Multi-Decoder-DPRNN/)
 
-Original research repo is at https://github.com/JunzheJosephZhu/MultiDecoder-DPRNN
+- [Original research repo](https://github.com/JunzheJosephZhu/MultiDecoder-DPRNN)
 
 This model was trained by Joseph Zhu using the wsj0-mix-var/Multi-Decoder-DPRNN recipe in Asteroid. 
 It was trained on the `sep_count` task of the Wsj0MixVar dataset.
@@ -69,3 +69,10 @@ loss:
 ```yaml
 'Accuracy': 0.9723333333333334, 'P-Si-SNR': 10.36027378628496
 ```
+
+### License notice:
+This work "MultiDecoderDPRNN" is a derivative of [CSR-I (WSJ0) Complete](https://catalog.ldc.upenn.edu/LDC93S6A)
+by [LDC](https://www.ldc.upenn.edu/), used under [LDC User Agreement for 
+Non-Members](https://catalog.ldc.upenn.edu/license/ldc-non-members-agreement.pdf) (Research only). 
+"MultiDecoderDPRNN" is licensed under [Attribution-ShareAlike 3.0 Unported](https://creativecommons.org/licenses/by-sa/3.0/)
+by Joseph Zhu.