diff --git a/examples/fastspeech/README.md b/examples/fastspeech/README.md index db42c3cb42c3b9dcd1b83bd4b10d223f3b45b61b..5f881056c046e2af9bfbde57dc487bd5de2c6219 100644 --- a/examples/fastspeech/README.md +++ b/examples/fastspeech/README.md @@ -1,5 +1,5 @@ # 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 diff --git a/examples/fastspeech/train.py b/examples/fastspeech/train.py index f4338ed0c0d7353911640426cf9693129820c373..7565ac950baa890c54741cbe770517d2f50113f8 100644 --- a/examples/fastspeech/train.py +++ b/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, diff --git a/examples/transformer_tts/README.md b/examples/transformer_tts/README.md index d7badada93ecde9b7a0f10bca30c9b591c6fa7a8..8c766ad2b377bd907b8af3faef34754da0dc233b 100644 --- a/examples/transformer_tts/README.md +++ b/examples/transformer_tts/README.md @@ -1,5 +1,5 @@ # 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