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