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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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- mel-to-wav
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language: ch
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license: apache-2.0
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datasets:
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- Baker
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widget:
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- text: "这是一个开源的端到端中文语音合成系统"
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---
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# Multi-band MelGAN trained on Baker (Ch)
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This repository provides a pretrained [Multi-band MelGAN](https://arxiv.org/abs/2005.05106) trained on Baker dataset (ch). 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 Wav
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```python
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import soundfile as sf
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import numpy as np
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import tensorflow as tf
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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-tacotron2-baker-ch")
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tacotron2 = TFAutoModel.from_pretrained("tensorspeech/tts-tacotron2-baker-ch")
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mb_melgan = TFAutoModel.from_pretrained("tensorspeech/tts-mb_melgan-baker-ch")
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text = "这是一个开源的端到端中文语音合成系统"
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input_ids = processor.text_to_sequence(text)
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# tacotron2 inference (text-to-mel)
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decoder_output, mel_outputs, stop_token_prediction, alignment_history = tacotron2.inference(
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input_ids=tf.expand_dims(tf.convert_to_tensor(input_ids, dtype=tf.int32), 0),
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input_lengths=tf.convert_to_tensor([len(input_ids)], tf.int32),
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speaker_ids=tf.convert_to_tensor([0], dtype=tf.int32),
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)
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# melgan inference (mel-to-wav)
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audio = mb_melgan.inference(mel_outputs)[0, :, 0]
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# save to file
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sf.write('./audio.wav', audio, 22050, "PCM_16")
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```
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#### Referencing Multi-band MelGAN
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```
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@misc{yang2020multiband,
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title={Multi-band MelGAN: Faster Waveform Generation for High-Quality Text-to-Speech},
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author={Geng Yang and Shan Yang and Kai Liu and Peng Fang and Wei Chen and Lei Xie},
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year={2020},
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eprint={2005.05106},
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archivePrefix={arXiv},
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primaryClass={cs.SD}
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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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