NeuralSeq/egs/datasets/audio/lj/preprocess.py

from data_gen.tts.base_preprocess import BasePreprocessor


class LJPreprocess(BasePreprocessor):
    def meta_data(self):
        for l in open(f'{self.raw_data_dir}/metadata.csv').readlines():
            item_name, _, txt = l.strip().split("|")
            wav_fn = f"{self.raw_data_dir}/wavs/{item_name}.wav"
            yield {'item_name': item_name, 'wav_fn': wav_fn, 'txt': txt}