成功结束了aishell之V1模型：
eer=0.049%
sid/extract_ivectors.sh --cmd run.pl --mem 4G --nj 10 exp/extractor_male data/test/enroll exp/ivector_enroll_1024
sid/extract_ivectors.sh: extracting iVectors
sid/extract_ivectors.sh: combining iVectors across jobs
sid/extract_ivectors.sh: computing mean of iVectors for each speaker and length-normalizing
sid/extract_ivectors.sh --cmd run.pl --mem 4G --nj 10 exp/extractor_male data/test/eval exp/ivector_eval_1024
sid/extract_ivectors.sh: extracting iVectors
sid/extract_ivectors.sh: combining iVectors across jobs
sid/extract_ivectors.sh: computing mean of iVectors for each speaker and length-normalizing
compute-eer -
LOG (compute-eer[5.5.39~1-88f23]:main():compute-eer.cc:136) Equal error rate is 0.0487076%, at threshold -12.62450.04871错误率太低，怀疑自己拿了训练数据当测试数据 ，然后尴尬成训练自己又识别自己吗
data下的feats.scp
test下的wav.scp
继续查看打分部分总脚本：
找run.sh中trials这个第一次出现
根据trails路径打开文件
把data/test的utt2spk打开看看
github源码中的错误率Equal error rate is 0.140528%, at threshold -12.018；
我的错误率 Equal error rate is 0.0487076%, at threshold -12.6245
同样的数据集：http://www.openslr.org/resources/33/
