High accuracy and octave error immune pitch detection algorithms

The aim of this paper is to present a method improving
pitch estimation accuracy, showing high performance for both synthetic harmonic
signals and musical instrument sounds. This method employs an Artificial Neural
Network of a feed-forward type. In addition, octave error optimized pitch
detection algorithm, based on spectral analysis is introduced. The proposed
algorithm is very effective for signals with strong harmonic, as well as nearly
sinusoidal contents. Experiments were performed on a variety of musical
instrument sounds and sample results exemplifying main issues of both engineered
algorithms are shown.