readme: ---
  tags:
  - tensorflowtts
  - audio
  - text-to-speech
  - text-to-mel
  language: eng
  license: apache-2.0
  datasets:
  - LJSpeech
  widget:
  - text: "How are you?"
  ---
  
  # FastSpeech2 trained on LJSpeech (Eng)
  This repository provides a pretrained [FastSpeech2](https://arxiv.org/abs/2006.04558) trained on LJSpeech dataset (ENG). For a detail of the model, we encourage you to read more about
  [TensorFlowTTS](https://github.com/TensorSpeech/TensorFlowTTS). 
  
  
  ## Install TensorFlowTTS
  First of all, please install TensorFlowTTS with the following command:
  ```
  pip install TensorFlowTTS
  ```
  
  ### Converting your Text to Mel Spectrogram
  ```python
  import numpy as np
  import soundfile as sf
  import yaml
  
  import tensorflow as tf
  
  from tensorflow_tts.inference import AutoProcessor
  from tensorflow_tts.inference import TFAutoModel
  
  processor = AutoProcessor.from_pretrained("tensorspeech/tts-fastspeech2-ljspeech-en")
  fastspeech2 = TFAutoModel.from_pretrained("tensorspeech/tts-fastspeech2-ljspeech-en")
  
  text = "How are you?"
  
  input_ids = processor.text_to_sequence(text)
  
  mel_before, mel_after, duration_outputs, _, _ = fastspeech2.inference(
      input_ids=tf.expand_dims(tf.convert_to_tensor(input_ids, dtype=tf.int32), 0),
      speaker_ids=tf.convert_to_tensor([0], dtype=tf.int32),
      speed_ratios=tf.convert_to_tensor([1.0], dtype=tf.float32),
      f0_ratios =tf.convert_to_tensor([1.0], dtype=tf.float32),
      energy_ratios =tf.convert_to_tensor([1.0], dtype=tf.float32),
  )
  ```
  
  #### Referencing FastSpeech2
  ```
  @misc{ren2021fastspeech,
        title={FastSpeech 2: Fast and High-Quality End-to-End Text to Speech}, 
        author={Yi Ren and Chenxu Hu and Xu Tan and Tao Qin and Sheng Zhao and Zhou Zhao and Tie-Yan Liu},
        year={2021},
        eprint={2006.04558},
        archivePrefix={arXiv},
        primaryClass={eess.AS}
  }
  ```
  
  #### Referencing TensorFlowTTS
  ```
  @misc{TFTTS,
      author = {Minh Nguyen, Alejandro Miguel Velasquez, Erogol, Kuan Chen, Dawid Kobus, Takuya Ebata, 
      Trinh Le and Yunchao He},
      title = {TensorflowTTS},
      year = {2020},
      publisher = {GitHub},
      journal = {GitHub repository},
      howpublished = {\\url{https://github.com/TensorSpeech/TensorFlowTTS}},
    }
  ```