代码拉取完成,页面将自动刷新
同步操作将从 AI柠檬/ASRT_SpeechRecognition 强制同步,此操作会覆盖自 Fork 仓库以来所做的任何修改,且无法恢复!!!
确定后同步将在后台操作,完成时将刷新页面,请耐心等待。
# !/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# Copyright 2016-2099 Ailemon.net
#
# This file is part of ASRT Speech Recognition Tool.
#
# ASRT is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# ASRT is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with ASRT. If not, see <https://www.gnu.org/licenses/>.
# ============================================================================
"""
@author: nl8590687
加载语音数据集用的数据加载器的定义
"""
import os
import random
import numpy as np
from utils.config import load_config_file, DEFAULT_CONFIG_FILENAME, load_pinyin_dict
from utils.ops import read_wav_data
class DataLoader:
"""
数据加载器
参数:\\
config: 配置信息字典
dataset_type: 要加载的数据集类型,包含('train', 'dev', 'test')三种
"""
def __init__(self, dataset_type:str):
self.dataset_type = dataset_type
self.data_list = list()
self.wav_dict = dict()
self.label_dict = dict()
self.pinyin_list = list()
self.pinyin_dict = dict()
self._load_data()
def _load_data(self):
config = load_config_file(DEFAULT_CONFIG_FILENAME)
self.pinyin_list, self.pinyin_dict = load_pinyin_dict(config['dict_filename'])
for index in range(len(config['dataset'][self.dataset_type])):
filename_datalist = config['dataset'][self.dataset_type][index]['data_list']
filename_datapath = config['dataset'][self.dataset_type][index]['data_path']
with open(filename_datalist, 'r', encoding='utf-8') as file_pointer:
lines = file_pointer.read().split('\n')
for line in lines:
if len(line) == 0:
continue
tokens = line.split(' ')
self.data_list.append(tokens[0])
self.wav_dict[tokens[0]] = os.path.join(filename_datapath, tokens[1])
filename_labellist = config['dataset'][self.dataset_type][index]['label_list']
with open(filename_labellist, 'r', encoding='utf-8') as file_pointer:
lines = file_pointer.read().split('\n')
for line in lines:
if len(line) == 0:
continue
tokens = line.split(' ')
self.label_dict[tokens[0]] = tokens[1:]
def get_data_count(self) -> int:
"""
获取数据集总数量
"""
return len(self.data_list)
def get_data(self, index:int) -> tuple:
"""
按下标获取一条数据
"""
mark = self.data_list[index]
wav_signal, sample_rate, _, _ = read_wav_data(self.wav_dict[mark])
labels = list()
for item in self.label_dict[mark]:
if len(item) == 0:
continue
labels.append(self.pinyin_dict[item])
data_label = np.array(labels)
return wav_signal, sample_rate, data_label
def shuffle(self) -> None:
"""
随机打乱数据
"""
random.shuffle(self.data_list)
此处可能存在不合适展示的内容,页面不予展示。您可通过相关编辑功能自查并修改。
如您确认内容无涉及 不当用语 / 纯广告导流 / 暴力 / 低俗色情 / 侵权 / 盗版 / 虚假 / 无价值内容或违法国家有关法律法规的内容,可点击提交进行申诉,我们将尽快为您处理。