DocumentCode :
465206
Title :
A Pitch Estimation Algorithm Based on the Smooth Harmonic Average Peak-to-Valley Envelope
Author :
Camacho, Arturo ; Harris, John G.
Author_Institution :
Computational Neuroengineering Lab., Florida Univ., Gainesville, FL
fYear :
2007
fDate :
27-30 May 2007
Firstpage :
3940
Lastpage :
3943
Abstract :
We propose SHAPE, a novel pitch estimation algorithm (PEA) that builds upon previous PEAs, addressing and solving some of their limitations. The SHAPE algorithm estimates the pitch using a smooth function to compute the average peak to valley distance at harmonic locations. This is done by performing an integral transform over the square-root magnitude of the spectrum using a truncated decaying cosine as a kernel. SHAPE was designed to both match human perception particularly for inharmonic sounds and to be competitive with numerous other PEAs as demonstrated on a common database.
Keywords :
harmonic analysis; music; speech processing; pitch estimation algorithm; smooth function; smooth harmonic average peak-to-valley envelope; Blindness; Databases; Fourier transforms; Frequency estimation; Humans; Kernel; Laboratories; Neural engineering; Shape; Signal design;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2007. ISCAS 2007. IEEE International Symposium on
Conference_Location :
New Orleans, LA
Print_ISBN :
1-4244-0920-9
Electronic_ISBN :
1-4244-0921-7
Type :
conf
DOI :
10.1109/ISCAS.2007.378662
Filename :
4253544
Link To Document :
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