如何将梅尔频谱图转换为对数缩放梅尔频谱图

问题描述

我正在阅读

我还可以将其显示为对数刻度的频谱图:

  librosa.display.specshow(ps，y_axis ='log'，x_axis ='time') 

很显然，它们看起来有所不同，但实际的声谱图 ps 是相同的.使用librosa，如何将这种质谱图转换为对数标度的质谱图?此外，对数标度谱图对原始质谱图的用途是什么?只是为了减小频域的方差以使其与时间轴可比，还是其他?

解决方案

librosa.power_to_db 应该这样做，看看吧

I was reading this paper on environmental noise discrimination using Convolution Neural Networks and wanted to reproduce their results. They convert WAV files into log-scaled mel spectrograms. How do you do this? I am able to convert a WAV file to a mel spectrogram

y, sr = librosa.load('audio/100263-2-0-117.wav',duration=3)
ps = librosa.feature.melspectrogram(y=y, sr=sr)
librosa.display.specshow(ps, y_axis='mel', x_axis='time')

I am also able to display it as a log scaled spectrogram:

librosa.display.specshow(ps, y_axis='log', x_axis='time')

Clearly, they look different, but the actual spectrogram ps is the same. Using librosa, how can I convert this melspectrogram into a log scaled melspectrogram? Furthermore, what is the use of a log scaled spectrogram over the original? Is it just to reduce the variance of the Frequency domain to make it comparable to the time axis, or something else?

解决方案

librosa.power_to_db should do it, take a look at that

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