py3pYIN

Python3 version of pYIN (pitch and note tracking for monophonic audio), adapted from https://github.com/ronggong/pypYIN.

pYIN project page

https://code.soundsoftware.ac.uk/projects/pyin

Dependencies

Numpy
Scipy
Essentia

Usage

Initialise:

Here are the parameters which need to be initialised before executing the main program:

inputSampleRate: sampling rate stepSize: hopSize
blockSize: frameSize
lowAmp(0,1): RMS of audio frame under lowAmp will be considered non voiced
onsetSensitivity: high value means note is easily be separated into two notes if low amplitude is presented.
pruneThresh(second): discards notes shorter than this threshold

Output:

Transcribed notes in Hz
Smoothed pitch track
Pitch tracks of transcribed notes in MIDI note number

Other issues:

See demo.py

References

M. Mauch and S. Dixon,
“pYIN: A Fundamental Frequency Estimator Using Probabilistic Threshold Distributions”,
in Proceedings of the IEEE International Conference on Acoustics,
Speech, and Signal Processing (ICASSP 2014), 2014.

M. Mauch, C. Cannam, R. Bittner, G. Fazekas, J. Salamon, J. Dai, J. Bello and S. Dixon,
“Computer-aided Melody Note Transcription Using the Tony Software: Accuracy and Efficiency”,
in Proceedings of the First International Conference on Technologies for
Music Notation and Representation, 2015.