spectrogram

I am trying to make an audio spectrogram in C and am thinking about using the BASS library: http://www.un4seen.com . I searched over Google and here, but majority of examples are in C++. If any of you have any experience or resource regarding this, please help; it would be much appreciated. So this is what I want to do: Read from mic input. Sample the data. Apply Short time Fourier transform. Then take the magnitude and plot it at the certain frequency. Something like this: http://upload.wikimedia.org/wikipedia/commons/c/c5/Spectrogram-19thC.png If you can help it would be great. 来源： https:/

I have never worked with audio signals before and little do I know about signal processing. Nevertheless, I need to represent and audio signal using pyplot.specgram function from matplotlib library. Here is how I do it. import matplotlib.pyplot as plt import scipy.io.wavfile as wavfile rate, frames = wavfile.read("song.wav") plt.specgram(frames) The result I am getting is this nice spectrogram below: When I look at x-axis and y-axis which I suppose are frequency and time domains I can't get my head around the fact that frequency is scaled from 0 to 1.0 and time from 0 to 80k . What is the

I'd like to obtain a spectrogram out of a wav file and then save it to a png, but I need just the content of the image (not axes or anything else). I came across these questions Matplotlib plots: removing axis, legends and white spaces scipy: savefig without frames, axes, only content I've also read the Matplotlib documentation but it seems useless and so either answers to questions above are outdated or I'm doing something wrong because simple plt.savefig('out.png', bbox_inches='tight', pad_inches=0) does not do what I want to achieve. Initially I tried to follow this guide but the code

For a project I need to be able to generate a spectrogram from a .WAV file. I've read the following should be done: Get N (transform size) samples Apply a window function Do a Fast Fourier Transform using the samples Normalise the output Generate spectrogram On the image below you see two spectrograms of a 10000 Hz sine wave both using the hanning window function. On the left you see a spectrogram generated by audacity and on the right my version. As you can see my version has a lot more lines/noise. Is this leakage in different bins? How would I get a clear image like the one audacity

Hi im very new to this thing so please bear with me. I am trying to convert a WAV file to a spectrogram but arent sure how to begin with. I read on something that says to read the PCM data(which i think is my WAV file) and store it in an array in the WavReader class before apply the FFT on it and converting it to GUI. Im currently using Naudio to achieve this but could not find anything that shows how to convert the WAV file to a spectrogram. Thanks Edit : I found out about converting PCM to FFT with Naudio and im stuck. using (var reader = new AudioFileReader("test1.wav")) { // test1.wav is

I want to save the image in a figure directly as a 256x256 size MAT-file. However, I found that the saved MAT-file sizes were different, and when using imagesc to display the image, it seemed to be a little different from the original image. I will show my code and hope someone could help me to solve it. spectrogram(x,window,L,N,fs); set(gcf,'position',[500,500,205,205]); set(gca,'Position',[0 0 1 1]); f=getframe(gcf); mat=getimage(gcf); save(['D:\matlab\speech\mydata\cleanmat\',strcat(int2str(i)),'.mat'],'mat','-v6'); save doesn't do anything unexpected here. The issue is that the direction

I am trying to obtain spectrogram of a wav file in python. But it gives the error: 'module' object has no attribute 'spectrogram'. Here is the code : import scipy.io.wavfile from scipy.io.wavfile import read from scipy import signal sr_value, x_value = scipy.io.wavfile.read("test.wav") f, t, Sxx= signal.spectrogram(x_value,sr_value) Is there also any way to obtain the spectrogram of a wav file? Using scipy.fftpack we can plot fft contents as spectrogram. ** This is based on my old posting ** Sample Code Below. """Plots Time in MS Vs Amplitude in DB of a input wav signal """ import numpy import