MFCC Python: completely different result from librosa vs python_speech_features vs tensorflow.signal
MFCC Python: completely different result from librosa vs python_speech_features vs tensorflow.signal Question: I’m trying to do extract MFCC features from audio (.wav file) and I have tried python_speech_features and librosa but they are giving completely different results: audio, sr = librosa.load(file, sr=None) # librosa hop_length = int(sr/100) n_fft = int(sr/40) features_librosa = librosa.feature.mfcc(audio, sr, n_mfcc=13, …
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