Wave_Compute_Similarity/main.py

from wave_compare import extract_mfcc, compute_similarity
from datetime import datetime
# import pickle

# 按间距中的绿色按钮以运行脚本。
if __name__ == '__main__':
    # print_hi('Program Start')
    print("start time:" + str(datetime.now()))
    sound_wave_1 = "D://Users//Jees//Documents//coding//PuppyVoiceProcessing//wave_files//puppy4a.wav"
    sound_wave_2 = "D://Users//Jees//Documents//coding//PuppyVoiceProcessing//wave_files//puppy1b.wav"

    mfcc_1 = extract_mfcc(sound_wave_1)
    mfcc_2 = extract_mfcc(sound_wave_2)

    # 一下两行代码展示将mfcc数据dump成二进制，用于保存在数据库。需要同时import pickle
    # a = pickle.dumps(mfcc_1)
    # b = pickle.loads(a)

    similarity = compute_similarity(mfcc_2, mfcc_1)
    print('similarity result:' + str(similarity))
    print("end time:" + str(datetime.now()))