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@@ -27,7 +27,7 @@ <h2>Ultra Dual-Path Compression For Joint Echo Cancellation and Noise Suppressio
 											<p>Accepted by Interspeech 2023</p>
 											<p>Authors: Hangting Chen, Jianwei Yu, Yi Luo, Rongzhi Gu, Weihua Li, Zhuocheng Lu, Chao Weng</p>
 											<p>Tencent AI Lab, Audio and Speech Signal Processing Oteam</p>
-											<p>Email: [email protected]</p>
+											<p>Email: [email protected]</p>
 										</header>
 										<p>Abstract:
 										 Echo cancellation and noise reduction are essential for full-duplex communication, yet most existing neural networks have high computational costs and are inflexible in tuning model complexity. 
@@ -37,6 +37,7 @@ <h2>Ultra Dual-Path Compression For Joint Echo Cancellation and Noise Suppressio
 										 We have found that under fixed compression ratios, dual-path compression combining both the time and frequency methods will give further performance improvement, covering compression ratios from 4x to 32x with little model size change. 
 										 Moreover, the proposed models show competitive performance compared with fast FullSubNet and DeepFilterNet.
 										</p>
+										<p><a href=https://github.com/hangtingchen/UltraDualPathCompression>Core source code is available.</a></p>
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