/speaker-recognition-py3

Base on MFCC and GMM(基于MFCC和高斯混合模型的语音识别)

Primary LanguagePythonApache License 2.0Apache-2.0

About

基于python3的声纹识别，数学建模选修课项目，10月2日

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 "person.wav" -m model.out

    Predict:
    ./speaker-recognition.py -t predict -i "音频.wav" -m model.out