readme: ---
  library_name: fairseq
  task: text-to-speech
  tags:
  - fairseq
  - audio
  - text-to-speech
  language: ru
  datasets:
  - common_voice
  - css10
  widget:
  - text: "Здравствуйте, это пробный запуск."
    example_title: "Hello, this is a test run."
  ---
  # tts_transformer-ru-cv7_css10
  
  [Transformer](https://arxiv.org/abs/1809.08895) text-to-speech model from fairseq S^2 ([paper](https://arxiv.org/abs/2109.06912)/[code](https://github.com/pytorch/fairseq/tree/main/examples/speech_synthesis)):
  - Russian
  - Single-speaker male voice
  - Pre-trained on [Common Voice v7](https://commonvoice.mozilla.org/en/datasets), fine-tuned on [CSS10](https://github.com/Kyubyong/css10)
  
  ## Usage
  
  ```python
  from fairseq.checkpoint_utils import load_model_ensemble_and_task_from_hf_hub
  from fairseq.models.text_to_speech.hub_interface import TTSHubInterface
  import IPython.display as ipd
  
  
  models, cfg, task = load_model_ensemble_and_task_from_hf_hub(
      "facebook/tts_transformer-ru-cv7_css10",
      arg_overrides={"vocoder": "hifigan", "fp16": False}
  )
  model = models[0]
  TTSHubInterface.update_cfg_with_data_cfg(cfg, task.data_cfg)
  generator = task.build_generator(model, cfg)
  
  text = "Здравствуйте, это пробный запуск."
  
  sample = TTSHubInterface.get_model_input(task, text)
  wav, rate = TTSHubInterface.get_prediction(task, model, generator, sample)
  
  ipd.Audio(wav, rate=rate)
  ```
  
  See also [fairseq S^2 example](https://github.com/pytorch/fairseq/blob/main/examples/speech_synthesis/docs/common_voice_example.md).
  
  ## Citation
  
  ```bibtex
  @inproceedings{wang-etal-2021-fairseq,
      title = "fairseq S{\^{}}2: A Scalable and Integrable Speech Synthesis Toolkit",
      author = "Wang, Changhan  and
        Hsu, Wei-Ning  and
        Adi, Yossi  and
        Polyak, Adam  and
        Lee, Ann  and
        Chen, Peng-Jen  and
        Gu, Jiatao  and
        Pino, Juan",
      booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
      month = nov,
      year = "2021",
      address = "Online and Punta Cana, Dominican Republic",
      publisher = "Association for Computational Linguistics",
      url = "https://aclanthology.org/2021.emnlp-demo.17",
      doi = "10.18653/v1/2021.emnlp-demo.17",
      pages = "143--152",
  }
  ```
  