文件名称:speechfeaextra1
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- 上传时间:2012-11-16
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文件大小:3.45kb
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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
speechfeaextra1/chunk_features.m
speechfeaextra1/chunk_features_separate_files.m
speechfeaextra1/chunk_influence.m
speechfeaextra1
speechfeaextra1/chunk_features.m
speechfeaextra1/chunk_features_separate_files.m
speechfeaextra1/chunk_influence.m
speechfeaextra1
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