文件名称:DTW
介绍说明－－下载内容均来自于网络，请自行研究使用
动态时间规整用于语音识别对齐和对比，例子是librosa 提取MFCC 特征，用DTW比较识别(Dynamic time warping is used for speech recognition, alignment, and contrast. The example is librosa, which extracts MFCC features and compares them with DTW)
相关搜索： DTW-python
(系统自动生成,下载前可以参看下载内容)
下载文件列表
DTW
DTW\test.py
DTW\ipapy_features.py
DTW\one_hot_sivi.py
DTW\0_5_0007_mic-01.wav
DTW\0_4_0020_mic-01.wav
DTW\MFCC+DTW.py
DTW\dtw.py
DTW\0_4_0016_mic-01.wav
DTW\0_1_0002_mic-01.wav
DTW\0_1_0001_mic-01.wav
DTW\1_86430113_3_00001.wav
DTW\sivi.py
DTW\__pycache__
DTW\__pycache__\sivi.cpython-35.pyc
DTW\__pycache__\ipapy_features.cpython-35.pyc
DTW\__pycache__\dtw.cpython-35.pyc
DTW\.idea
DTW\.idea\workspace.xml
DTW\.idea\DTW.iml
DTW\.idea\modules.xml
DTW\.idea\misc.xml
DTW\.idea\dictionaries
DTW\.idea\dictionaries\kay.xml
DTW\.idea\inspectionProfiles
DTW\.idea\inspectionProfiles\profiles_settings.xml
DTW\test.py
DTW\ipapy_features.py
DTW\one_hot_sivi.py
DTW\0_5_0007_mic-01.wav
DTW\0_4_0020_mic-01.wav
DTW\MFCC+DTW.py
DTW\dtw.py
DTW\0_4_0016_mic-01.wav
DTW\0_1_0002_mic-01.wav
DTW\0_1_0001_mic-01.wav
DTW\1_86430113_3_00001.wav
DTW\sivi.py
DTW\__pycache__
DTW\__pycache__\sivi.cpython-35.pyc
DTW\__pycache__\ipapy_features.cpython-35.pyc
DTW\__pycache__\dtw.cpython-35.pyc
DTW\.idea
DTW\.idea\workspace.xml
DTW\.idea\DTW.iml
DTW\.idea\modules.xml
DTW\.idea\misc.xml
DTW\.idea\dictionaries
DTW\.idea\dictionaries\kay.xml
DTW\.idea\inspectionProfiles
DTW\.idea\inspectionProfiles\profiles_settings.xml