modified some vars name

examples/fastspeech/README.md

 # Fastspeech
-Paddle fluid implementation of Fastspeech, a feed-forward network based on Transformer. The implementation is based on [FastSpeech: Fast, Robust and Controllable Text to Speech](https://arxiv.org/abs/1905.09263).
+PaddlePaddle fluid implementation of Fastspeech, a feed-forward network based on Transformer. The implementation is based on [FastSpeech: Fast, Robust and Controllable Text to Speech](https://arxiv.org/abs/1905.09263).
 
 ## Dataset
 

examples/fastspeech/train.py

@@ -67,12 +67,12 @@ def main(args):
 
     with dg.guard(place):
         with fluid.unique_name.guard():
-            transformerTTS = TransformerTTS(cfg)
+            transformer_tts = TransformerTTS(cfg)
             model_dict, _ = load_checkpoint(
                 str(args.transformer_step),
                 os.path.join(args.transtts_path, "transformer"))
-            transformerTTS.set_dict(model_dict)
-            transformerTTS.eval()
+            transformer_tts.set_dict(model_dict)
+            transformer_tts.eval()
 
         model = FastSpeech(cfg)
         model.train()
@@ -105,7 +105,7 @@ def main(args):
                  mel_lens, enc_slf_mask, enc_query_mask, dec_slf_mask,
                  enc_dec_mask, dec_query_slf_mask, dec_query_mask) = data
 
-                _, _, attn_probs, _, _, _ = transformerTTS(
+                _, _, attn_probs, _, _, _ = transformer_tts(
                     character,
                     mel_input,
                     pos_text,

examples/transformer_tts/README.md

 # TransformerTTS
-PaddlePaddle fluid implementation of TransformerTTS, a neural TTS with Transformer. The implementation is based on [Neural Speech Synthesis with Transformer Network](https://arxiv.org/abs/1809.08895).
+PaddlePaddle fluid implementation of TransformerTTS, a neural TTS model with Transformer. The implementation is based on [Neural Speech Synthesis with Transformer Network](https://arxiv.org/abs/1809.08895).
 
 ## Dataset