102 lines
3.5 KiB
Python
102 lines
3.5 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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#
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# Copyright 2016-2099 Ailemon.net
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#
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# This file is part of ASRT Speech Recognition Tool.
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#
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# ASRT is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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# ASRT is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with ASRT. If not, see <https://www.gnu.org/licenses/>.
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# ============================================================================
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"""
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@author: nl8590687
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加载语音数据集用的数据加载器的定义
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"""
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import os
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import random
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import numpy as np
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from utils.config import load_config_file, DEFAULT_CONFIG_FILENAME, load_pinyin_dict
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from utils.ops import read_wav_data
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class DataLoader:
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'''
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数据加载器
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参数：\\
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config: 配置信息字典
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dataset_type: 要加载的数据集类型，包含('train', 'dev', 'test')三种
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'''
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def __init__(self, dataset_type:str):
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self.dataset_type = dataset_type
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self.data_list = list()
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self.wav_dict = dict()
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self.label_dict = dict()
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self.pinyin_list = list()
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self.pinyin_dict = dict()
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self._load_data()
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def _load_data(self):
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config = load_config_file(DEFAULT_CONFIG_FILENAME)
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self.pinyin_list, self.pinyin_dict = load_pinyin_dict(config['dict_filename'])
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for index in range(len(config['dataset'][self.dataset_type])):
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filename_datalist = config['dataset'][self.dataset_type][index]['data_list']
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filename_datapath = config['dataset'][self.dataset_type][index]['data_path']
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with open(filename_datalist, 'r', encoding='utf-8') as file_pointer:
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lines = file_pointer.read().split('\n')
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for line in lines:
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if len(line) == 0:
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continue
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tokens = line.split(' ')
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self.data_list.append(tokens[0])
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self.wav_dict[tokens[0]] = os.path.join(filename_datapath, tokens[1])
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filename_labellist = config['dataset'][self.dataset_type][index]['label_list']
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with open(filename_labellist, 'r', encoding='utf-8') as file_pointer:
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lines = file_pointer.read().split('\n')
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for line in lines:
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if len(line) == 0:
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continue
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tokens = line.split(' ')
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self.label_dict[tokens[0]] = tokens[1:]
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def get_data_count(self) -> int:
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'''
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获取数据集总数量
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'''
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return len(self.data_list)
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def get_data(self, index:int) -> tuple:
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'''
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按下标获取一条数据
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'''
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mark = self.data_list[index]
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wav_signal, sample_rate, _, _ = read_wav_data(self.wav_dict[mark])
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labels = list()
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for item in self.label_dict[mark]:
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if len(item) == 0:
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continue
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labels.append(self.pinyin_dict[item])
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data_label = np.array(labels)
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return (wav_signal, sample_rate, data_label)
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def shuffle(self) -> None:
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'''
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随机打乱数据
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'''
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random.shuffle(self.data_list)
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