Update README.md

README.md

@@ -4,9 +4,95 @@ task: audio-to-audio
 tags:
 - fairseq
 - audio
-- audio-to-audio
-language: en
+- speech-to-speech-translation
+language: en-vi
 datasets:
-- ljspeech
+- must_c
 ---
-## Example
+# xm_transformer_600m-en_vi-multi_domain
+
+[W2V2-Transformer](https://aclanthology.org/2021.acl-long.68/) speech-to-text translation model from fairseq S2T ([paper](https://arxiv.org/abs/2010.05171)/[code](https://github.com/pytorch/fairseq/tree/main/examples/speech_to_text)):
+- English-Vietnamese
+- Trained on MuST-C, Multilingual LibriSpeech, Common Voice v7 and CCMatrix
+- Speech synthesis with [facebook/tts_transformer-vi-cv7](https://huggingface.co/facebook/tts_transformer-vi-cv7)
+
+## Usage
+```python
+from fairseq.checkpoint_utils import load_model_ensemble_and_task_from_hf_hub
+from fairseq.models.speech_to_text.hub_interface import S2THubInterface
+from fairseq.models.text_to_speech.hub_interface import TTSHubInterface
+import IPython.display as ipd
+import torchaudio
+
+
+models, cfg, task = load_model_ensemble_and_task_from_hf_hub(
+    "facebook/xm_transformer_600m-en_vi-multi_domain",
+    arg_overrides={"config_yaml": "config.yaml"},
+)
+model = models[0]
+generator = task.build_generator(model, cfg)
+
+
+# requires 16000Hz mono channel audio
+audio, _ = torchaudio.load("/path/to/an/audio/file")
+
+sample = S2THubInterface.get_model_input(task, audio)
+text = S2THubInterface.get_prediction(task, model, generator, sample)
+
+# speech synthesis
+tts_models, tts_cfg, tts_task = load_model_ensemble_and_task_from_hf_hub(
+  f"facebook/tts_transformer-vi-cv7",
+  arg_overrides={"vocoder": "griffin_lim", "fp16": False},
+)
+tts_model = tts_models[0]
+TTSHubInterface.update_cfg_with_data_cfg(tts_cfg, tts_task.data_cfg)
+tts_generator = tts_task.build_generator([tts_model], tts_cfg)
+
+tts_sample = TTSHubInterface.get_model_input(tts_task, text)
+wav, sr = TTSHubInterface.get_prediction(
+    tts_task, tts_model, tts_generator, tts_sample
+)
+
+ipd.Audio(wav, rate=rate)
+```
+
+## Citation
+```bibtex
+@inproceedings{li-etal-2021-multilingual,
+    title = "Multilingual Speech Translation from Efficient Finetuning of Pretrained Models",
+    author = "Li, Xian  and
+      Wang, Changhan  and
+      Tang, Yun  and
+      Tran, Chau  and
+      Tang, Yuqing  and
+      Pino, Juan  and
+      Baevski, Alexei  and
+      Conneau, Alexis  and
+      Auli, Michael",
+    booktitle = "Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)",
+    month = aug,
+    year = "2021",
+    address = "Online",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2021.acl-long.68",
+    doi = "10.18653/v1/2021.acl-long.68",
+    pages = "827--838",
+}
+
+@inproceedings{wang-etal-2020-fairseq,
+    title = "Fairseq {S}2{T}: Fast Speech-to-Text Modeling with Fairseq",
+    author = "Wang, Changhan  and
+      Tang, Yun  and
+      Ma, Xutai  and
+      Wu, Anne  and
+      Okhonko, Dmytro  and
+      Pino, Juan",
+    booktitle = "Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: System Demonstrations",
+    month = dec,
+    year = "2020",
+    address = "Suzhou, China",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2020.aacl-demo.6",
+    pages = "33--39",
+}
+```