Auto Speaker Recognition
main.py
the main file for test
audio_record.py
record audio from micro phone
count_days.py
count days between two date. 20110805 20160903
mfcc_feature.py
extract mfcc feature from wav files
SGD.model*
the trained model on train set , and the accurate is 70%
util.py
contains the most useful functions
train
train data is 75% of all the data
test
test data is 25% of all the data and has no overlap with train set
classification_SGD.py
is the main classification function py file , and it use
2021-09-15 10:53:24
9.44MB
说话人识别
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