FFT which frequencies are in which bins?
c#,fft,naudio,audio-processing
Here's a modified version of your code. Note the comments starting with "***". OpenFileDialog file = new OpenFileDialog(); file.ShowDialog(); WaveFileReader reader = new WaveFileReader(file.FileName); byte[] data = new byte[reader.Length]; reader.Read(data, 0, data.Length); samepleRate = reader.WaveFormat.SampleRate; bitDepth = reader.WaveFormat.BitsPerSample; channels = reader.WaveFormat.Channels; Console.WriteLine("audio has " + channels + " channels, a...
Suggestion on Classification Method and Machine Learning Model for Environment Sound Classification
audio,machine-learning,classification,audio-processing
Well, I have to answer my own question. I did some testing these days using the model of having three GMM in the way I mentioned on the question. It still works fine. If I have more training data I am confident that I could reach an accuracy above 90%.
Matlab real time audio processing
matlab,audio-recording,audio-processing
I think that you should use Stream processing like this: % Visualization of audio spectrum frame by frame Microphone = dsp.AudioRecorder; Speaker = dsp.AudioPlayer; SpecAnalyzer = dsp.SpectrumAnalyzer; tic; while(toc<30) audio = step(Microphone); step(SpecAnalyzer,audio); step(Speaker, audio); end you can find more information here and also in this presentation ...
How to read a 2-channel audio file in MATLAB
matlab,audio,channel,audio-processing
Luis Mendo is right. I was unable to find this information in doc wavread but if you check out doc sound it documents that x(:,1) is the left and x(:,2) is the right channel. If you are using a recent version of matlab, conciser switching to audioread In many cases...
Time delay of sound files using cross correlation
java,signal-processing,audio-processing,cross-correlation
If I remember correctly, a cross-correlation is the same as convolution with one of the signals time-reversed. A convolution in turn is efficiently calculated by multiplying the spectra of the two signals; i.e., take the FFT of each signal padded at least to the sum of the size of both...
Calcute note based on frequency
Yes, this can be done. First however you must know the key in which to work. Assuming plain C major you'd start with the note a1 being 440Hz. Every octave up doubles the frequency, every octave down halves it, so you've got a nice logarithmic scale, with base 2. Within...