| from pathlib import Path |
|
|
| from fairseq.tasks import register_task |
| from fairseq.tasks.speech_to_speech import SpeechToSpeechTask |
| from translatotron.datasets.speech_to_speech_dataset_modified import ( |
| SpeechToSpeechDatasetModifiedCreator, |
| ) |
| from translatotron.datasets.speech_to_speech_data_cfg_modified import ( |
| S2SDataConfigModified, |
| ) |
|
|
|
|
| @register_task("speech_to_speech_modified") |
| class SpeechToSpeechTaskModified(SpeechToSpeechTask): |
|
|
| def __init__(self, args, tgt_dict, infer_tgt_lang_id=None): |
| super().__init__(args, tgt_dict, infer_tgt_lang_id) |
| self.data_cfg = S2SDataConfigModified(Path(args.data) / args.config_yaml) |
|
|
| def load_dataset(self, split, epoch=1, combine=False, **kwargs): |
| self.datasets[split] = SpeechToSpeechDatasetModifiedCreator.from_tsv( |
| root=self.args.data, |
| cfg=self.data_cfg, |
| splits=split, |
| target_is_code=self.args.target_is_code, |
| tgt_dict=self.tgt_dict, |
| is_train_split=split.startswith("train"), |
| n_frames_per_step=self.args.n_frames_per_step, |
| |
| multitask=self.multitask_tasks if split.startswith("train") else None, |
| ) |
|
|
