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dataset.py
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dataset.py
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import os
import random
import pickle
import numpy as np
import torch as th
from torch.utils.data import DataLoader, Dataset
from torch.nn.utils.rnn import pack_sequence, pad_sequence
from utils import parse_scps, stft, apply_cmvn, EPSILON, get_logger
logger = get_logger(__name__)
class SpectrogramReader(object):
"""
Wrapper for short-time fourier transform of dataset
"""
def __init__(self, wave_scp, **kwargs):
if not os.path.exists(wave_scp):
raise FileNotFoundError("Could not find file {}".format(wave_scp))
self.stft_kwargs = kwargs