diff --git a/README.md b/README.md
index 2a761d3f8eaa4ad44897cf0e5fef74d3a544c398..04a736cdedcb526249ee21f35c8245d04a9f36c0 100644
--- a/README.md
+++ b/README.md
@@ -6,9 +6,9 @@ Parakeet aims to provide a flexible, efficient and state-of-the-art text-to-spee
   <img src="images/logo.png" width=450 /> <br>
 </div>
 
-In particular, it features the latest [WaveFlow] (https://arxiv.org/abs/1912.01219) model proposed by Baidu Research.
+In particular, it features the latest [WaveFlow](https://arxiv.org/abs/1912.01219) model proposed by Baidu Research.
 
-- WaveFlow can synthesize 22.05 kHz high-fidelity speech around 40x faster than real-time on a Nvidia V100 GPU without engineered inference kernels, which is faster than [WaveGlow] (https://github.com/NVIDIA/waveglow) and serveral orders of magnitude faster than WaveNet.
+- WaveFlow can synthesize 22.05 kHz high-fidelity speech around 40x faster than real-time on a Nvidia V100 GPU without engineered inference kernels, which is faster than [WaveGlow](https://github.com/NVIDIA/waveglow) and serveral orders of magnitude faster than WaveNet.
 - WaveFlow is a small-footprint flow-based model for raw audio. It has only 5.9M parameters, which is 15x smalller than WaveGlow (87.9M).
 - WaveFlow is directly trained with maximum likelihood without probability density distillation and auxiliary losses as used in Parallel WaveNet and ClariNet, which simplifies the training pipeline and reduces the cost of development.
 
@@ -102,16 +102,12 @@ Parakeet also releases some well-trained parameters for the example models, whic
             <th>
             <a href="https://paddlespeech.bj.bcebos.com/Parakeet/clarinet_ljspeech_samples_1.0/step_500000_sentence_0.wav">
             <img src="images/audio_icon.png" width=250 /></a><br>
-            
             <a href="https://paddlespeech.bj.bcebos.com/Parakeet/clarinet_ljspeech_samples_1.0/step_500000_sentence_1.wav">
             <img src="images/audio_icon.png" width=250 /></a><br>
-            
             <a href="https://paddlespeech.bj.bcebos.com/Parakeet/clarinet_ljspeech_samples_1.0/step_500000_sentence_2.wav">
             <img src="images/audio_icon.png" width=250 /></a><br>
-            
             <a href="https://paddlespeech.bj.bcebos.com/Parakeet/clarinet_ljspeech_samples_1.0/step_500000_sentence_3.wav">
             <img src="images/audio_icon.png" width=250 /></a><br>
-            
             <a href="https://paddlespeech.bj.bcebos.com/Parakeet/clarinet_ljspeech_samples_1.0/step_500000_sentence_4.wav">
             <img src="images/audio_icon.png" width=250 /></a>            
             </th>