README.md

metadata

library_name: fairseq
task: audio-to-audio
tags:
  - fairseq
  - audio
  - audio-to-audio
  - speech-to-speech-translation
datasets:
  - mtedx
  - covost2
  - europarl_st
  - voxpopuli
widget:
  - example_title: Common Voice sample 1
    src: >-
      https://huggingface.co/facebook/xm_transformer_600m-es_en-multi_domain/resolve/main/common_voice_es_19966634.flac

xm_transformer_600m-es_en-multi_domain

W2V2-Transformer speech-to-text translation model from fairseq S2T (paper/code):

• Spanish-English
• Trained on mTEDx, CoVoST 2, EuroParl-ST, VoxPopuli, Multilingual LibriSpeech, Common Voice v7 and CCMatrix
• Speech synthesis with facebook/fastspeech2-en-ljspeech

Usage

from fairseq.checkpoint_utils import load_model_ensemble_and_task_from_hf_hub
from fairseq.models.text_to_speech.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-es_en-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/fastspeech2-en-ljspeech",
  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)