A method for selecting the most suitable pitch from some candidates utilizing its time continuation
Akio Ogihara, Shojiro Yoneda · Electronics and Communications in Japan (Part III Fundamental Electronic Science) · 1992
Abstract Pitch frequency is a basic characteristic of the human voice, and pitch extraction is one of the most important studies for speech recognition. This paper describes a method for selecting the most suitable candidate from candidates (pitch candidates) obtained by the short‐range autocorrelation function. The selection is done utilizing the time continuation which is realized by that history of pitch candidates at previous frames referred to with a referential matrix. In addition, an improved result of pitch extraction is obtained by introducing restraints of double‐pitch and half‐pitch. The pitch extraction was performed for three males and three females. The proposed method improves the percentage of correct pitch from 64.86 to 91.06 percent.