diff --git a/README-CN.md b/README-CN.md
index 458946c..337430f 100644
--- a/README-CN.md
+++ b/README-CN.md
@@ -5,7 +5,7 @@
 
 ### [English](README.md)  | 中文
 
-### [DEMO VIDEO](https://www.bilibili.com/video/BV1sA411P7wM/)
+### [DEMO VIDEO](https://www.bilibili.com/video/BV17Q4y1B7mY/)
 
 ## 特性
 🌍 **中文** 支持普通话并使用多种中文数据集进行测试：aidatatang_200zh, magicdata, aishell3， biaobei，MozillaCommonVoice 等
diff --git a/README.md b/README.md
index 58c3fe2..4b6341e 100644
--- a/README.md
+++ b/README.md
@@ -16,7 +16,7 @@
 
 🌍 **Webserver Ready** to serve your result with remote calling
 
-### [DEMO VIDEO](https://www.bilibili.com/video/BV1sA411P7wM/)
+### [DEMO VIDEO](https://www.bilibili.com/video/BV17Q4y1B7mY/)
 
 ## Quick Start
 
diff --git a/synthesizer/hparams.py b/synthesizer/hparams.py
index 897b6d4..c92b564 100644
--- a/synthesizer/hparams.py
+++ b/synthesizer/hparams.py
@@ -49,12 +49,15 @@ hparams = HParams(
                                                     # frame that has all values < -3.4
 
         ### Tacotron Training
-        tts_schedule = [(2,  1e-3,  20_000,  24),   # Progressive training schedule
-                        (2,  5e-4,  40_000,  24),   # (r, lr, step, batch_size)
-                        (2,  2e-4,  80_000,  24),   #
-                        (2,  1e-4, 160_000,  24),   # r = reduction factor (# of mel frames
-                        (2,  3e-5, 320_000,  24),   #     synthesized for each decoder iteration)
-                        (2,  1e-5, 640_000,  24)],  # lr = learning rate
+        tts_schedule = [(2,  1e-3,  10_000,  12),   # Progressive training schedule
+                        (2,  5e-4,  15_000,  12),   # (r, lr, step, batch_size)
+                        (2,  2e-4,  20_000,  12),   # (r, lr, step, batch_size)
+                        (2,  1e-4,  30_000,  12),   #
+                        (2,  5e-5,  40_000,  12),   #
+                        (2,  1e-5,  60_000,  12),   #
+                        (2,  5e-6, 160_000,  12),   # r = reduction factor (# of mel frames
+                        (2,  3e-6, 320_000,  12),   #     synthesized for each decoder iteration)
+                        (2,  1e-6, 640_000,  12)],  # lr = learning rate
 
         tts_clip_grad_norm = 1.0,                   # clips the gradient norm to prevent explosion - set to None if not needed
         tts_eval_interval = 500,                    # Number of steps between model evaluation (sample generation)