This page tries to extract pitch class histograms from audio. Pitch class histograms give pointers on how pitch is used in a performance and are especially relevant for music of which the scale is not known: think about, for example, historic recordings of non-eurogenetic music cultures. It also says something about
How do I use this?
Drop the media files you want to analyze the pitch organization from on the placeholder above. The file is automatically analyzed for pitch patterns and a resulting graph is shown. The data, which is extracted during the process can be downloaded seperately.
What is in these files I downloaded?
The pitch class histogram gives tels you how common each pitch (expressed in cents) is within an octave. By convention the pitch class histogram starts on a C (or for example 261.63Hz, midi key 60 or octaves apart). The pitch histogram is a list of 12800 values: each cent value in the full midi range (0-128). Each distance between two keys on a keyboard is split into 100 (which explains the name cents). The pitch estimations are the base information extracted with a pitch extractor called YIN. YIN works best for vocal performances.
What happens if I drop a video file?
The application automatically uses the first audio stream in the video container for pitch extraction.
I do not want to share any audiovisual material. Can I use this page?