dlpy.audio.AudioTable.create_audio_feature_table¶
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AudioTable.create_audio_feature_table(frame_shift=10, frame_length=25, n_bins=40, n_ceps=40, feature_scaling_method='STANDARDIZATION', n_output_frames=500, casout=None, label_level=0, random_shuffle=True)¶ Extracts audio features from the audio table and create a new CASTable that contains the features.
- Parameters
- frame_shiftint, optional
Specifies the time difference (in milliseconds) between the beginnings of consecutive frames. Default: 10
- frame_lengthint, optional
Specifies the length of a frame (in milliseconds). Default: 25
- n_binsint, optional
Specifies the number of triangular mel-frequency bins. Default: 40
- n_cepsint, optional
Specifies the number of cepstral coefficients in each MFCC feature frame (including C0). Default: 40
- feature_scaling_methodstring, optional
Specifies the feature scaling method to apply to the computed feature vectors. Default: ‘standardization’
- n_output_framesint, optional
Specifies the exact number of frames to include in the output table (extra frames are dropped and missing frames are padded with zeros). Default: 500
- casoutdict or string or CASTable, optional
CAS Output table
- label_leveloptional
Specifies which path level should be used to generate the class labels for each audio. For instance, label_level = 1 means the first directory and label_level = -2 means the last directory. This internally use the SAS scan function (check https://www.sascrunch.com/scan-function.html for more details). In default, no class labels are generated. Default: 0
- random_shufflebool, optional
Specifies whether shuffle the generated CAS table randomly. Default: True
- Returns
AudioTableIf table exists
- None
If no table exists