Detecting pitch automatically - The intuition behind the YIN pitch detection algorithm скачать в хорошем качестве

Detecting pitch automatically - The intuition behind the YIN pitch detection algorithm

Sound is messy and difficult to deal with, yet with some simple techniques, we are able to write a short program which deals well with pitch detection in many real cases of monophonic audio. This video covers the main steps used in the YIN pitch detection algorithm [1] and visualizes the underlying concepts with various animations. [1]: De Cheveigné, A., & Kawahara, H. (2002). YIN, a fundamental frequency estimator for speech and music. The Journal of the Acoustical Society of America, 111(4), 1917-1930. Corrections: The 2 samples played at 0:40 are not actually the same pitch, but 1 octave apart, specifically 110 Hz and 220 Hz respectively. _____ Music by: Cursedsnake SoundCloud:   / cursedsnake   YouTube:    / cursedsnake   Nicolaj Valsted: SoundCloud:   / nicolajvalsted   YouTube:    / detslav   Manim Community was used to make a majority of the visualizations: https://www.manim.community/ which stems from a fork of Manim by 3Blue1Brown: https://github.com/3b1b/manim