DocumentCode
714540
Title
A study on compare pitch detection algorithms
Author
Kadi, Cansu ; Gokhuseyin, Seda ; Arioz, Umut
Author_Institution
Bilgisayar Muhendisligi Bolumu, Gazi Univ., Ankara, Turkey
fYear
2015
fDate
16-19 May 2015
Firstpage
132
Lastpage
135
Abstract
In this paper, three algorithms were choosen by reviewing the literature about pitch detection and implemented on the Matlab environment. Runtimes and error rates of these algorithms were compared with each other. These algorithms are Harmonic Product Spectrum (HPS), Cepstral Pitch Tespit (CPD) and Autocorrelation Method. the observed results showed that the fastest algorithm is CPD and the slowest algorithm is HPS. The least error was achieved at 44.1 kHz sample rate for all algorithms. HPS algorithm become more successful with %99 success ratio in noiseless environment.
Keywords
speech processing; CPD; HPS algoritm; Matlab environment; autocorrelation method; cepstral pitch Tespit; compare pitch detection algorithms; error rates; harmonic product spectrum; runtime rate; Cepstrum; Detection algorithms; Signal to noise ratio; Speech; Speech processing; Speech recognition; pitch; pitch detection algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location
Malatya
Type
conf
DOI
10.1109/SIU.2015.7130123
Filename
7130123
Link To Document