Create README.md

README.md

@@ -0,0 +1,38 @@
+---
+license: apache-2.0
+language:
+- en
+tags:
+- audio
+- audio-source-separation
+pipeline_tag: audio-to-audio
+---
+# An efficient encoder-decoder architecture with top-down attention for speech separation
+
+[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/an-efficient-encoder-decoder-architecture/speech-separation-on-libri2mix)](https://paperswithcode.com/sota/speech-separation-on-libri2mix?p=an-efficient-encoder-decoder-architecture) [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/an-efficient-encoder-decoder-architecture/speech-separation-on-wham)](https://paperswithcode.com/sota/speech-separation-on-wham?p=an-efficient-encoder-decoder-architecture)
+
+This repository is the official implementation of [An efficient encoder-decoder architecture with top-down attention for speech separation](https://cslikai.cn/project/TDANet) [Paper link](https://openreview.net/pdf?id=fzberKYWKsI). 
+
+```
+@inproceedings{tdanet2023iclr,
+  title={An efficient encoder-decoder architecture with top-down attention for speech separation},
+  author={Li, Kai and Yang, Runxuan and Hu, Xiaolin},
+  booktitle={ICLR},
+  year={2023}
+}
+```
+
+## Training Dataset
+
+- LRS2-2Mix
+
+## Config
+
+```yaml
+    enc_kernel_size: 2
+    in_channels: 512
+    num_blocks: 16
+    num_sources: 2
+    out_channels: 128
+    upsampling_depth: 5
+```