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--- |
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library_name: fairseq |
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task: audio-to-audio |
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tags: |
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- fairseq |
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- audio |
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- audio-to-audio |
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- speech-to-speech-translation |
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language: en-tr |
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datasets: |
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- must_c |
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- covost2 |
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widget: |
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- example_title: Common Voice sample 1 |
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src: https://huggingface.co/facebook/xm_transformer_600m-en_es-multi_domain/resolve/main/common_voice_en_18295850.mp3 |
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--- |
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# xm_transformer_600m-en_tr-multi_domain |
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[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)): |
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- English-Turkish |
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- Trained on MuST-C, CoVoST 2, Multilingual LibriSpeech, Common Voice v7 and CCMatrix |
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- Speech synthesis with [facebook/tts_transformer-tr-cv7](https://huggingface.co/facebook/tts_transformer-tr-cv7) |
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## Usage |
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```python |
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from fairseq.checkpoint_utils import load_model_ensemble_and_task_from_hf_hub |
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from fairseq.models.speech_to_text.hub_interface import S2THubInterface |
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from fairseq.models.text_to_speech.hub_interface import TTSHubInterface |
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import IPython.display as ipd |
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import torchaudio |
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models, cfg, task = load_model_ensemble_and_task_from_hf_hub( |
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"facebook/xm_transformer_600m-en_tr-multi_domain", |
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arg_overrides={"config_yaml": "config.yaml"}, |
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) |
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model = models[0] |
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generator = task.build_generator(model, cfg) |
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# requires 16000Hz mono channel audio |
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audio, _ = torchaudio.load("/path/to/an/audio/file") |
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sample = S2THubInterface.get_model_input(task, audio) |
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text = S2THubInterface.get_prediction(task, model, generator, sample) |
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# speech synthesis |
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tts_models, tts_cfg, tts_task = load_model_ensemble_and_task_from_hf_hub( |
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f"facebook/tts_transformer-tr-cv7", |
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arg_overrides={"vocoder": "griffin_lim", "fp16": False}, |
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) |
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tts_model = tts_models[0] |
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TTSHubInterface.update_cfg_with_data_cfg(tts_cfg, tts_task.data_cfg) |
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tts_generator = tts_task.build_generator([tts_model], tts_cfg) |
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tts_sample = TTSHubInterface.get_model_input(tts_task, text) |
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wav, sr = TTSHubInterface.get_prediction( |
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tts_task, tts_model, tts_generator, tts_sample |
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) |
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ipd.Audio(wav, rate=rate) |
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``` |
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## Citation |
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```bibtex |
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@inproceedings{li-etal-2021-multilingual, |
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title = "Multilingual Speech Translation from Efficient Finetuning of Pretrained Models", |
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author = "Li, Xian and |
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Wang, Changhan and |
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Tang, Yun and |
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Tran, Chau and |
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Tang, Yuqing and |
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Pino, Juan and |
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Baevski, Alexei and |
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Conneau, Alexis and |
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Auli, Michael", |
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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)", |
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month = aug, |
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year = "2021", |
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address = "Online", |
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publisher = "Association for Computational Linguistics", |
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url = "https://aclanthology.org/2021.acl-long.68", |
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doi = "10.18653/v1/2021.acl-long.68", |
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pages = "827--838", |
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} |
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|
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@inproceedings{wang-etal-2020-fairseq, |
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title = "Fairseq {S}2{T}: Fast Speech-to-Text Modeling with Fairseq", |
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author = "Wang, Changhan and |
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Tang, Yun and |
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Ma, Xutai and |
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Wu, Anne and |
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Okhonko, Dmytro and |
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Pino, Juan", |
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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", |
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month = dec, |
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year = "2020", |
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address = "Suzhou, China", |
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publisher = "Association for Computational Linguistics", |
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url = "https://aclanthology.org/2020.aacl-demo.6", |
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pages = "33--39", |
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} |
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``` |
