Tts Transformer En Ljspeech

🚀 TTS Transformer - 英文 - LJSpeech

本項目是基於fairseq S²的Transformer文本轉語音模型（論文/代碼），可將英文文本轉換為單聲道女性語音。該模型在LJSpeech數據集上進行訓練。

🚀 快速開始

本模型可將英文文本轉換為語音，支持單聲道女性語音，在LJSpeech數據集上訓練得到。

✨ 主要特性

• 語言支持：支持英文文本輸入。
• 語音類型：單聲道女性語音。
• 訓練數據：基於LJSpeech數據集訓練。

💻 使用示例

基礎用法

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-en-ljspeech",
    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 = "Hello, this is a test run."

sample = TTSHubInterface.get_model_input(task, text)
wav, rate = TTSHubInterface.get_prediction(task, model, generator, sample)

ipd.Audio(wav, rate=rate)

更多使用示例可參考 fairseq S² 示例。

📄 許可證

引用信息

如果您使用了本模型，請引用以下論文：

@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",
}