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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: fr |
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license: apache-2.0 |
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datasets: |
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- synpaflex |
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widget: |
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- text: "Oh, je voudrais tant que tu te souviennes Des jours heureux quand nous étions amis" |
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--- |
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# Tacotron 2 with Guided Attention trained on Synpaflex (Fr) |
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This repository provides a pretrained [Tacotron2](https://arxiv.org/abs/1712.05884) trained with [Guided Attention](https://arxiv.org/abs/1710.08969) on Synpaflex dataset (Fr). 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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import numpy as np |
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import soundfile as sf |
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import yaml |
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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-synpaflex-fr") |
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tacotron2 = TFAutoModel.from_pretrained("tensorspeech/tts-tacotron2-synpaflex-fr") |
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text = "Oh, je voudrais tant que tu te souviennes Des jours heureux quand nous étions amis" |
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input_ids = processor.text_to_sequence(text) |
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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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``` |
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|
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#### Referencing Tacotron 2 |
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``` |
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@article{DBLP:journals/corr/abs-1712-05884, |
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author = {Jonathan Shen and |
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Ruoming Pang and |
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Ron J. Weiss and |
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Mike Schuster and |
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Navdeep Jaitly and |
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Zongheng Yang and |
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Zhifeng Chen and |
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Yu Zhang and |
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Yuxuan Wang and |
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R. J. Skerry{-}Ryan and |
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Rif A. Saurous and |
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Yannis Agiomyrgiannakis and |
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Yonghui Wu}, |
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title = {Natural {TTS} Synthesis by Conditioning WaveNet on Mel Spectrogram |
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Predictions}, |
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journal = {CoRR}, |
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volume = {abs/1712.05884}, |
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year = {2017}, |
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url = {http://arxiv.org/abs/1712.05884}, |
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archivePrefix = {arXiv}, |
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eprint = {1712.05884}, |
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timestamp = {Thu, 28 Nov 2019 08:59:52 +0100}, |
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biburl = {https://dblp.org/rec/journals/corr/abs-1712-05884.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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``` |
