pyAudioAnalysis
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tyiannak
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
``` 295 for feat in features: 296 temp = [] 297 for i in range(feat.shape[0]): 298 temp_fv = feat[i, :] ``` if one of the class folder has only 1...
This pull request fixes issue #376 . I know you should use read_audio_file and it will call read_audio_generic if needed and then flatten the signal, but one might end up...
## What is the problem The feature_extraction function requires the signal to be of shape (m, ) and fails when given a signal of shape (m, 1). Try running the...
There are small typos in: - pyAudioAnalysis/ShortTermFeatures.py - pyAudioAnalysis/audioSegmentation.py - pyAudioAnalysis/audioTrainTest.py Fixes: - Should read `plotted` rather than `ploted`. - Should read `optional` rather than `optinal`. - Should read `exactly`...
When attempting to use this function, I used two folders for the input. It is throwing me a ValueError on when appending the class_name which is the folder path. Is...
Running the line `from pyAudioAnalysis import audioSegmentation as aS` gives this error in my terminal Traceback (most recent call last): File "C:\Users\John\Desktop\pyAudioAnalysis\test.py", line 1, in from pyAudioAnalysis import audioSegmentation as...
Can you please explain how the arousal and valence values are calculated for the audio signal in this module and what exactly the values from arousal.csv and valence.csv specify?
[pyAudioAnalysis: get similarity of test audio compared to class?]
Hi, When I pass `0` or bad `number of speaker` to diarization function, I have an error! What should I do now?
Hello How is it possible to retrieve the offset of speakers change detection from the call to audioSegmentation.py with speaker_diarization ? ``` def speakerDiarizationWrapper(inputFile, numSpeakers, useLDA): if useLDA: aS.speaker_diarization(inputFile, numSpeakers,...
