From 886d647bb18cec8fb11955a27a9b48d5e7aba84a Mon Sep 17 00:00:00 2001
From: Jean-Marc Valin <jmvalin@amazon.com>
Date: Wed, 24 May 2023 00:56:11 -0400
Subject: [PATCH] Link to DRED paper

---
 dnn/README.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/dnn/README.md b/dnn/README.md
index 7fb3c1de2..930b043c2 100644
--- a/dnn/README.md
+++ b/dnn/README.md
@@ -11,6 +11,7 @@ For coding/PLC applications of LPCNet, see:
 - J.-M. Valin, J. Skoglund, [A Real-Time Wideband Neural Vocoder at 1.6 kb/s Using LPCNet](https://jmvalin.ca/papers/lpcnet_codec.pdf), *Proc. INTERSPEECH*, arxiv:1903.12087, 2019.
 - J. Skoglund, J.-M. Valin, [Improving Opus Low Bit Rate Quality with Neural Speech Synthesis](https://jmvalin.ca/papers/opusnet.pdf), *Proc. INTERSPEECH*, arxiv:1905.04628, 2020.
 - J.-M. Valin, A. Mustafa, C. Montgomery, T.B. Terriberry, M. Klingbeil, P. Smaragdis, A. Krishnaswamy, [Real-Time Packet Loss Concealment With Mixed Generative and Predictive Model](https://jmvalin.ca/papers/lpcnet_plc.pdf), *Proc. INTERSPEECH*, arxiv:2205.05785, 2022.
+- J.-M. Valin, J. BÃ¼the, A. Mustafa, [Low-Bitrate Redundancy Coding of Speech Using a Rate-Distortion-Optimized Variational Autoencoder](https://jmvalin.ca/papers/valin_dred.pdf), *Proc. ICASSP*, arXiv:2212.04453, 2023. ([blog post](https://www.amazon.science/blog/neural-encoding-enables-more-efficient-recovery-of-lost-audio-packets))
 
 # Introduction
 
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GitLab