Paganini-a music analysis and recognition program

Music is an extremely rich and complex signal. With just four consecutive single notes of equal duration, a classical guitar can produce nearly four and a half million different progressions. With the addition of chords and changes in duration, these few notes can produce an enormous number of variations. Given this complexity, it is interesting to ask the question: is it possible for a computer program to extract enough information from the audio signal alone to reconstruct the original score? This paper proposes a novel approach to this problem entitled “Paganini”, based on time-frequency analysis techniques and a neural network classifier