2.1 Pitch detection

Pitch detection

Detecting the pitch of an input signal seems deceptively simple. Many groups have tackled this challenge bysimply taking the Fourier transform of the signal, and then finding the frequency with the highest spectral magnitude. As elegant as it may seem, thisapproach does not work for many musical instruments. Instead, we have chosen to approach the problem from a more expandable pointof view.

One of the problems with finding the fundamental frequency lies in simple definition. In our case, wewill define this as being the frequency that the human ear recognizes as being dominate. The human auditory system respondsmost sensitively to the equivalent of the lowest common denominator of the produced frequencies. This can be modeled by finding the strongest set of frequencies amplitudes, and taking the lowest frequency value of that group. This process is quite effective, though it does rely on the condition that the fundamental frequency actually exists, and isn't just simulated via a combination of higher harmonics. The following example illustrates this more concretely.

In the above waveform, we want to find the frequency heard by the human ear as being the fundamental pitch. Todo this, we first look at the five highest peaks, which occur at 440, 880, 1320, 1760, and 2640 Hz. From this set of values, wegrab the lowest occurring frequency. Hence, the fundamental frequency of the above signal would be stated as being 440 Hz, or aconcert 'A'... which is, in fact, the pitch that was played.