create a pitch tracking function in matlab in matlab

To create a pitch tracking function in MATLAB, you can use the built-in functions provided by the Audio Toolbox. Here's a step-by-step guide to help you get started:

1. Read the audio signal: Load your audio file using the audioread function. For example:

main.m
[y, fs] = audioread('audio_file.wav');
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2. Pre-process the audio signal: It is essential to pre-process the audio signal to improve pitch tracking accuracy. You can apply techniques such as resampling, filtering, or normalization based on your requirements.

3. Pitch estimation: MATLAB provides the pitch function to estimate the pitch. This function computes the frequency (in Hz) of each frame in the audio signal. Here's an example of how to use the pitch function:

main.m
pitchVals = pitch(y, fs);
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The pitch function returns an array of pitch values corresponding to each frame of the input audio signal.

4. Post-processing: Depending on your specific needs, you may want to apply post-processing techniques to refine the pitch estimation results. This could include methods such as smoothing, peak picking, or pitch contour analysis.

5. Visualize the pitch: Finally, you can plot the estimated pitch values over time to visualize the pitch contour of the audio signal. You can use the plot function to display the pitch values against the time axis.

main.m
t = (1:length(pitchVals))/fs; % time axis in seconds
plot(t, pitchVals);
xlabel('Time (s)');
ylabel('Pitch (Hz)');
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This will create a plot showing the estimated pitch values over time.

Remember to ensure MATLAB's Audio Toolbox is installed and properly configured to use these functions.