我通过[data,fs,bit] = wavread(' * .wav')加载了wav文件; 我想使用specgram函数来显示这个wav文件。
喜欢这个!
让我知道如何将wav文件可视化为此图片。 (我想分析wav文件声音的频率)
答案 0 :(得分:1)
叹息......我没有给出Matlab specgram
和spectrogram
的情节示例,但我会给出另一种方法。
首先,您要使用FFT将时域信号转换为短时频域(STFT):
这可以通过matlab specgram
完成:
[data,fs,bit] = wavread('test.wav'); %//Read in WAV file
%//Note if you have dual channel or multi-channel, you need to do each channel separately, or add them to create mono-channel. In my example, which is voice, I use a single channel recording.
teststft = spectrogram(data); %//This is rough, and usually results in terrible results;
%//I suggest you set your input parameters suitable for voice/music/etc - Note I used hamming window of 256 length, 50% overlap and 512 nfft - which creates roughly 30ms time frames, suitable for voice.
teststft = spectrogram(data(:,1),hamming(256),50,512);
%//In your plotting example, you have used something like the Log Magnitude response, which can be expressed as:
testSTFT = log(abs(teststft));
%//and finally, to plot:
figure
surf(STFT, 'edgecolor', 'none'); view(0,90); axis tight;
xlabel('Time');
ylabel('FrequencyDistribution');
grid on;