[dataloader] Fix text filtering bug and speed up spectrum length calc #216
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python compare_audio.py 1000.txt
soundfile: 100%|███████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:01<00:00, 537.85it/s]
soundfile: 1.861177682876587
torchaudio: 100%|███████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:10<00:00, 99.78it/s]
torchaudio: 10.02232575416565可以看到，soundfile的速度是torchaudio的5倍
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1.修复了data_utils.py中的_filter时对文本长度的判断，原先未对文本长度split()，把空格也计算到文本长度了
2.更新了data_utils.py中的_filter时对音频采样率的计算从torchaudio替换为soundfile库，速度增加了5倍；
3.添加了data_utils.py中的_filter时进度条显示
4.添加 tools/compute_spec_length.py预先多线程计算频谱特征的长度，节省了数据加载时间，只需将原始的train.txt的文件格式变成 filename|speaker|text|spec_length，即用第四列表示特征的长度