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🦋 Update README
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README.md
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---
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tags:
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- tensorflowtts
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- audio
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- text-to-speech
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- text-to-mel
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language: eng
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license: apache-2.0
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datasets:
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- LJSpeech
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widget:
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- text: "How are you?"
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---
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# FastSpeech trained on LJSpeech (Eng))
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This repository provides a pretrained [FastSpeech](https://arxiv.org/abs/1905.09263) trained on LJSpeech dataset (ENG). For a detail of the model, we encourage you to read more about
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[TensorFlowTTS](https://github.com/TensorSpeech/TensorFlowTTS).
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## Install TensorFlowTTS
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First of all, please install TensorFlowTTS with the following command:
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```
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pip install TensorFlowTTS
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```
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### Converting your Text to Mel Spectrogram
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```python
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from tensorflow_tts.inference import AutoProcessor
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from tensorflow_tts.inference import TFAutoModel
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processor = AutoProcessor.from_pretrained("tensorspeech/tts-fastspeech-ljspeech-en")
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fastspeech = TFAutoModel.from_pretrained("tensorspeech/tts-fastspeech-ljspeech-en")
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text = "How are you?"
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input_ids = processor.text_to_sequence(text)
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mel_before, mel_after, duration_outputs = fastspeech.inference(
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input_ids=tf.expand_dims(tf.convert_to_tensor(input_ids, dtype=tf.int32), 0),
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speaker_ids=tf.convert_to_tensor([0], dtype=tf.int32),
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speed_ratios=tf.convert_to_tensor([1.0], dtype=tf.float32),
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)
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```
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#### Referencing FastSpeech
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```
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@article{DBLP:journals/corr/abs-1905-09263,
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author = {Yi Ren and
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Yangjun Ruan and
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Xu Tan and
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Tao Qin and
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Sheng Zhao and
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Zhou Zhao and
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Tie{-}Yan Liu},
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title = {FastSpeech: Fast, Robust and Controllable Text to Speech},
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journal = {CoRR},
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volume = {abs/1905.09263},
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year = {2019},
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url = {http://arxiv.org/abs/1905.09263},
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archivePrefix = {arXiv},
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eprint = {1905.09263},
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timestamp = {Wed, 11 Nov 2020 08:48:07 +0100},
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biburl = {https://dblp.org/rec/journals/corr/abs-1905-09263.bib},
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bibsource = {dblp computer science bibliography, https://dblp.org}
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}
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```
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#### Referencing TensorFlowTTS
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```
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@misc{TFTTS,
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author = {Minh Nguyen, Alejandro Miguel Velasquez, Erogol, Kuan Chen, Dawid Kobus, Takuya Ebata,
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Trinh Le and Yunchao He},
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title = {TensorflowTTS},
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year = {2020},
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publisher = {GitHub},
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journal = {GitHub repository},
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howpublished = {\\url{https://github.com/TensorSpeech/TensorFlowTTS}},
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}
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```
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