diff --git a/TTS-SotA/0.Papers b/TTS-SotA/0.Papers
index ea3d6f2883f628fe1b63769db0871a7d177e316e..03390e4b732aca13a37618e37823876e884c539a 100644
--- a/TTS-SotA/0.Papers
+++ b/TTS-SotA/0.Papers
@@ -1,4 +1,4 @@
-**2020**
+**********2020**********
 [PAPER] End-to-End Adversarial Text-to-Speech
 > https://arxiv.org/abs/2006.03575
 
@@ -15,8 +15,56 @@
 [PAPER] Using Vaes and Normalizing Flows for One-Shot Text-To-Speech Synthesis of Expressive Speech
 > https://ieeexplore.ieee.org/document/9053678
 
+[PAPER] Fully-hierarchical fine-grained prosody modeling for interpretable speech synthesis
+> https://arxiv.org/abs/2002.03785
 
-**2019**
+[PAPER] Generating diverse and natural text-to-speech samples using a quantized fine-grained VAE and auto-regressive prosody prior
+> https://arxiv.org/abs/2002.03788
 
 
+**********2019**********
+
+[PAPER] Effective Use of Variational Embedding Capacity in Expressive End-to-End Speech Synthesis
+> https://arxiv.org/abs/1906.03402
+
+[PAPER] Semi-Supervised Generative Modeling for Controllable Speech Synthesis
+> https://arxiv.org/abs/1910.01709
+
+[PAPER] Location-Relative Attention Mechanisms For Robust Long-Form Speech Synthesis
+> https://arxiv.org/abs/1910.10288
+
+
+**********2018**********
+[PAPER] Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron
+> https://arxiv.org/abs/1803.09047
+
+[PAPER] Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis
+> https://arxiv.org/abs/1803.09017
+
+[PAPER] Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
+> https://arxiv.org/abs/1806.04558
+
+[PAPER] Predicting Expressive Speaking Style From Text in End-to-End Speech Synthesis
+> https://arxiv.org/abs/1808.01410
+
+[PAPER] Semi-Supervised Training for Improving Data Efficiency in End-to-End Speech Synthesis
+> https://arxiv.org/abs/1808.10128
+
+[PAPER] Hierarchical Generative Modeling for Controllable Speech Synthesis
+> https://arxiv.org/abs/1810.07217
+
+[PAPER] Disentangling Correlated Speaker and Noise for Speech Synthesis via Data Augmentation and Adversarial Factorization
+> https://openreview.net/pdf?id=Bkg9ZeBB37
+
+
+**********2017**********
+[PAPER] Tacotron: Towards End-to-End Speech Synthesis
+> https://arxiv.org/abs/1703.10135
+
+[PAPER] Uncovering Latent Style Factors for Expressive Speech Synthesis
+> https://arxiv.org/abs/1711.00520
+
+[PAPER]  Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions
+> https://arxiv.org/abs/1712.05884
+