Update README.md

README.md

@@ -5,8 +5,63 @@ tags:
 - fairseq
 - audio
 - text-to-speech
-language: en
+language: ar
 datasets:
-- ljspeech
+- common_voice
 ---
-## Example
+# tts_transformer-ar-cv7
+
+[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)):
+- Arabic
+- Single-speaker male voice
+- Trained on [Common Voice v7](https://commonvoice.mozilla.org/en/datasets)
+
+## 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-ar-cv7",
+    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)
+```
+
+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",
+}
+```