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Hi,
I am working on the feature extraction (Mel-spectrogram) for training the ML model for Sound event detection.
I have a doubt regarding the steps required for the feature extraction process. Is it mandatory/required to convert the Amplitude to dB scale (librosa.power_to_db) or I can proceed without it? As after calculating Mel-power Spectrogram I am getting -ve values also which is creating a problem in Log-compression as -ve values give NaN.
Note: I am normalizing a file with its own mean and std.
The text was updated successfully, but these errors were encountered:
Hi,
I am working on the feature extraction (Mel-spectrogram) for training the ML model for Sound event detection.
I have a doubt regarding the steps required for the feature extraction process. Is it mandatory/required to convert the Amplitude to dB scale (librosa.power_to_db) or I can proceed without it? As after calculating Mel-power Spectrogram I am getting -ve values also which is creating a problem in Log-compression as -ve values give NaN.
Note: I am normalizing a file with its own mean and std.
The text was updated successfully, but these errors were encountered: