文件名称:speechfeaextra1
介绍说明－－下载内容均来自于网络，请自行研究使用
Short introduction to speech feature extraction code:
Step 1:
Create speech features:
If you have a one stereo file with each speaker in one channel use:
features = speech_features_stereo( demo.wav )
If you are using several mono audio files use (the audio files have to be synchronized):
speech_features_separate_files({ file1.wav , file2.wav , file3.wav })
Both functions are wrappers to process the individual audio streams. The main purpose is to calculate the overall rms (wavrms.m) as input for the actual features extraction.-Short introduction to speech feature extraction code:
Step 1:
Create speech features:
If you have a one stereo file with each speaker in one channel use:
features = speech_features_stereo( demo.wav )
If you are using several mono audio files use (the audio files have to be synchronized):
speech_features_separate_files({ file1.wav , file2.wav , file3.wav })
Both functions are wrappers to process the individual audio streams. The main purpose is to calculate the overall rms (wavrms.m) as input for the actual features extraction.
Step 1:
Create speech features:
If you have a one stereo file with each speaker in one channel use:
features = speech_features_stereo( demo.wav )
If you are using several mono audio files use (the audio files have to be synchronized):
speech_features_separate_files({ file1.wav , file2.wav , file3.wav })
Both functions are wrappers to process the individual audio streams. The main purpose is to calculate the overall rms (wavrms.m) as input for the actual features extraction.-Short introduction to speech feature extraction code:
Step 1:
Create speech features:
If you have a one stereo file with each speaker in one channel use:
features = speech_features_stereo( demo.wav )
If you are using several mono audio files use (the audio files have to be synchronized):
speech_features_separate_files({ file1.wav , file2.wav , file3.wav })
Both functions are wrappers to process the individual audio streams. The main purpose is to calculate the overall rms (wavrms.m) as input for the actual features extraction.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
speechfeaextra1\change_speaking_segmentsize.m
...............\chunk_features.m
...............\chunk_features_separate_files.m
...............\chunk_influence.m
speechfeaextra1
...............\chunk_features.m
...............\chunk_features_separate_files.m
...............\chunk_influence.m
speechfeaextra1