Base on MFCC and GMM(基于MFCC和高斯混合模型的语音识别)
This project is a simple python3 version of speaker-recognition and I make a little change for the convenience of command line usage.
usage: speaker-recognition.py [-h] -t TASK -i INPUT -m MODEL
Speaker Recognition Command Line Tool
optional arguments:
-h, --help show this help message and exit
-t TASK, --task TASK Task to do. Either "enroll" or "predict"
-i INPUT, --input INPUT
Input Files(to predict) or Directories(to enroll)
-m MODEL, --model MODEL
Model file to save(in enroll) or use(in predict)
Wav files in each input directory will be labeled as the basename of the directory.
Note that wildcard inputs should be *quoted*, and they will be sent to glob module.
Examples:
Train:
./speaker-recognition.py -t enroll -i "/tmp/person* ./mary" -m model.out
Predict:
./speaker-recognition.py -t predict -i "./*.wav" -m model.out