FFT的频谱图在Python [英] FFT for Spectrograms in Python

问题描述

我怎么会去使用Python来读取从WAV PCM文件的频率峰值，然后才能产生它的一个形象，频谱图分析？

How would I go about using Python to read the frequency peaks from a WAV PCM file and then be able to generate an image of it, for spectogram analysis?

我试图做一个程序，它可以读取任何音频文件，将其转换为WAV PCM，然后找到高峰和频率截止。

I'm trying to make a program that allows you to read any audio file, converting it to WAV PCM, and then finding the peaks and frequency cutoffs.

推荐答案

Python的波库会让你进口音频。之后，你可以使用numpy的走音的FFT 。

Python's wave library will let you import the audio. After that, you can use numpy to take an FFT of the audio.

然后， matplotlib 使得非常漂亮的图表和图形 - 绝对媲美MATLAB

Then, matplotlib makes very nice charts and graphs - absolutely comparable to MATLAB.

这是旧如粪土，但这篇文章很可能让你开始几乎正是问题你所描述的（当然，在Python的文章）。

It's old as dirt, but this article would probably get you started on almost exactly the problem you're describing (article in Python of course).

这篇关于FFT的频谱图在Python的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！