Pitch Detection on Arduino using Autocorrelation

This is the fourth part of the article about the Arduino Pitch Detector. This part describes how the analog signal from the microphone is digitized.\(\)

Digitizing the analog signal (microphone.cpp)

own work

The microphone driver determines the value presented at the analog port, using analog-to-digital (ADC) conversion. The driver reads the analog port asynchronously. In this asynchronous approach, the CPU starts the conversion, and moves on to do other things. Once, the a conversion is complete, the ACD converter interrupts the CPU. The CPU postpones what it is doing, reads the conversion result, and returns to whatever it was doing. This way the the CPU doesn’t have to wait for the ADC conversion to complete (typically abt. 832 cycles) [Meettechniek, 2013].

This asynchronous approach, usually requires two buffers. One buffer is written to asynchronously, while the another buffer is being processed. Given that Arduino UNO has a precious 2048 bytes of SDRAM, this code goes through some hoops, so that it only needs one buffer.

The typical sequence of events is:

  1. The application needs audio samples and calls Microphone::getSamples().
    • The first time getSamples() is called, it allocates memory for the samples, and starts the sampling. All other times, the samples are probably already available (started another time in step 3).
    • The method getSamples() waits until all samples are available.
  2. The application processes the samples.
  3. Once the application is done with the samples, it calls Microphone::update().
    • This initiates the interrupt driven process of gathering new samples. It does not wait for the samples.
  4. The application continues (without accessing the samples) e.g. to display the results.
  5. Return to step 1.

Once the application, determines the frequency, it starts to take new samples while determining the pitch, determining note level segmentation, and displaying the results. This application uses a sample rate of 9615 samples/s. Refer to autocorr.cpp for details.

The next part of this article describes one of the key algorithms: finding the frequency and pitch.

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4 Replies to “Pitch Detection on Arduino using Autocorrelation”

  1. Hello,

    I want to know the frequency of the power grid, but harmonic frequencies in the power grid are a huge problem.
    Can you send me a code for ‘filtering’ fundamental? (0-150Hz max)

  2. Hello,

    First of all, this a great work ! Not only just a sample stuff but very documented, you shoudl be proud !

    I’d like to use it for a guitare. Do you think it will work ? Did you test it ?

    Finally, did you make a video of it to see how good it works ? :)

    Thanks for the sharing and keep having fun making all these things :)

  3. Hello. Bravo for this work …
    I am a retired electronic engineer, and I designed a tuner working with FFT on a PC with a professional tool : Labview from National Instrument, which offers huge signal processing libraries. I wanted a very precise instrument to tune the reeds of a vintage italian accordion (Paolo Soprani, 1915). I am also playing bassoon, and then concerned with bass notes. I encountered many difficulties with low frequency cut off of the microphones, giving signals with harmonics far higher than fundamental (up to 20 dB). The lowest note of my accordion is a Bb at 58.27 Hz, on the left hand chords. This is also the lowest note of the basson. Precise measurement need very long sampling of several seconds !
    Well, now, I want to buid a little funny gadget which will animate a “snake” poping out of a basket in relation with the recognised notes … I am very interested by your work, but I think i will use a more powerfull processor than the Arduino uno, and then higher sampling frequency and 500 or 1000 samples.

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