| import importlib |
|
|
| from data_gen.tts.base_binarizer import BaseBinarizer |
| from data_gen.tts.base_preprocess import BasePreprocessor |
| from data_gen.tts.txt_processors.base_text_processor import get_txt_processor_cls |
| from utils.hparams import hparams |
|
|
|
|
| def parse_dataset_configs(): |
| max_tokens = hparams['max_tokens'] |
| max_sentences = hparams['max_sentences'] |
| max_valid_tokens = hparams['max_valid_tokens'] |
| if max_valid_tokens == -1: |
| hparams['max_valid_tokens'] = max_valid_tokens = max_tokens |
| max_valid_sentences = hparams['max_valid_sentences'] |
| if max_valid_sentences == -1: |
| hparams['max_valid_sentences'] = max_valid_sentences = max_sentences |
| return max_tokens, max_sentences, max_valid_tokens, max_valid_sentences |
|
|
|
|
| def parse_mel_losses(): |
| mel_losses = hparams['mel_losses'].split("|") |
| loss_and_lambda = {} |
| for i, l in enumerate(mel_losses): |
| if l == '': |
| continue |
| if ':' in l: |
| l, lbd = l.split(":") |
| lbd = float(lbd) |
| else: |
| lbd = 1.0 |
| loss_and_lambda[l] = lbd |
| print("| Mel losses:", loss_and_lambda) |
| return loss_and_lambda |
|
|
|
|
| def load_data_preprocessor(): |
| preprocess_cls = hparams["preprocess_cls"] |
| pkg = ".".join(preprocess_cls.split(".")[:-1]) |
| cls_name = preprocess_cls.split(".")[-1] |
| preprocessor: BasePreprocessor = getattr(importlib.import_module(pkg), cls_name)() |
| preprocess_args = {} |
| preprocess_args.update(hparams['preprocess_args']) |
| return preprocessor, preprocess_args |
|
|
|
|
| def load_data_binarizer(): |
| binarizer_cls = hparams['binarizer_cls'] |
| pkg = ".".join(binarizer_cls.split(".")[:-1]) |
| cls_name = binarizer_cls.split(".")[-1] |
| binarizer: BaseBinarizer = getattr(importlib.import_module(pkg), cls_name)() |
| binarization_args = {} |
| binarization_args.update(hparams['binarization_args']) |
| return binarizer, binarization_args |
