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tensorspeech
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tts-tacotron2-thorsten-ger

Text-to-Speech
TensorFlowTTS
audio
text-to-mel
Model card Files Community
tts-tacotron2-thorsten-ger
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---
tags:
- tensorflowtts
- audio
- text-to-speech
- text-to-mel
language: german
license: apache-2.0
datasets:
- Thorsten
widget:
- text: "Möchtest du das meiner Frau erklären? Nein? Ich auch nicht."
---

# Tacotron 2 with Guided Attention trained on Thorsten (Ger)
This repository provides a pretrained [Tacotron2](https://arxiv.org/abs/1712.05884) trained with [Guided Attention](https://arxiv.org/abs/1710.08969) on Thorsten dataset (Ger). 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-tacotron2-thorsten-ger")
tacotron2 = TFAutoModel.from_pretrained("tensorspeech/tts-tacotron2-thorsten-ger")

text = "Möchtest du das meiner Frau erklären? Nein? Ich auch nicht."

input_ids = processor.text_to_sequence(text)

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),
)

```

#### Referencing Tacotron 2
```
@article{DBLP:journals/corr/abs-1712-05884,
  author    = {Jonathan Shen and
               Ruoming Pang and
               Ron J. Weiss and
               Mike Schuster and
               Navdeep Jaitly and
               Zongheng Yang and
               Zhifeng Chen and
               Yu Zhang and
               Yuxuan Wang and
               R. J. Skerry{-}Ryan and
               Rif A. Saurous and
               Yannis Agiomyrgiannakis and
               Yonghui Wu},
  title     = {Natural {TTS} Synthesis by Conditioning WaveNet on Mel Spectrogram
               Predictions},
  journal   = {CoRR},
  volume    = {abs/1712.05884},
  year      = {2017},
  url       = {http://arxiv.org/abs/1712.05884},
  archivePrefix = {arXiv},
  eprint    = {1712.05884},
  timestamp = {Thu, 28 Nov 2019 08:59:52 +0100},
  biburl    = {https://dblp.org/rec/journals/corr/abs-1712-05884.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
```

#### 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}},
  }
```