High accuracy and octave error immune pitch detection algorithms

• Autorzy: Dziubiński M. , Kostek B.
• Języki publikacji: EN

Abstrakty

EN

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.

• Wydawca: Instytut Podstawowych Problemów Techniki PAN ; Komitet Akustyki PAN ; Polskie Towarzystwo Akustyczne
• Czasopismo: Archives of Acoustics
• Rocznik: 2004
• Tom: Vol. 29, no. 1
• Strony: 3--23
• Opis fizyczny: Bibliogr. 21 poz., tab., wykr.

Twórcy

autor

Dziubiński M.

• Multimedia Systems Department Gdańsk University of Technology, Narutowicza 11/12, 80-952 Gdańsk, Poland

autor

Kostek B.

• Multimedia Systems Department Gdańsk University of Technology, Narutowicza 11/12, 80-952 Gdańsk, Poland

Bibliografia

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