🦋 Update README

README.md

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+---
+tags:
+- tensorflowtts
+- audio
+- text-to-speech
+- mel-to-wav
+language: en
+license: apache-2.0
+datasets:
+- ljspeech
+widget:
+- text: "Hello, how are you doing?"
+---
+
+# Multi-band MelGAN trained on LJSpeech (En)
+This repository provides a pretrained [Multi-band MelGAN](https://arxiv.org/abs/2005.05106) 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 Wav Spectrogram
+```python
+import soundfile as sf
+import numpy as np
+
+import tensorflow as tf
+
+from tensorflow_tts.inference import AutoProcessor
+from tensorflow_tts.inference import TFAutoModel
+
+processor = AutoProcessor.from_pretrained("tensorspeech/tts-tacotron2-ljspeech-en")
+tacotron2 = TFAutoModel.from_pretrained("tensorspeech/tts-tacotron2-ljspeech-en")
+mb_melgan = TFAutoModel.from_pretrained("tensorspeech/tts-mb_melgan-ljspeech-en ")
+
+text = "This is a demo to show how to use our model to generate mel spectrogram from raw text."
+
+input_ids = processor.text_to_sequence(text)
+
+# tacotron2 inference (text-to-mel)
+decoder_output, mel_outputs, stop_token_prediction, alignment_history = tacotron2.inference(
+    input_ids=tf.expand_dims(tf.convert_to_tensor(input_ids, dtype=tf.int32), 0),
+    input_lengths=tf.convert_to_tensor([len(input_ids)], tf.int32),
+    speaker_ids=tf.convert_to_tensor([0], dtype=tf.int32),
+)
+
+# melgan inference (mel-to-wav)
+audio = mb_melgan.inference(mel_outputs)[0, :, 0]
+
+# save to file
+sf.write('./audio.wav', audio, 22050, "PCM_16")
+```
+
+#### Referencing Multi-band MelGAN
+```
+@misc{yang2020multiband,
+      title={Multi-band MelGAN: Faster Waveform Generation for High-Quality Text-to-Speech}, 
+      author={Geng Yang and Shan Yang and Kai Liu and Peng Fang and Wei Chen and Lei Xie},
+      year={2020},
+      eprint={2005.05106},
+      archivePrefix={arXiv},
+      primaryClass={cs.SD}
+}
+```
+
+#### 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}},
+  }
+```