A pitch tracker for speech, using synchro-squeezed stft and frequency domain autocorrelation, designed to analyze imperfect recordings of spontaneous speech. Relies heavily on the nice ssqueezepy package.
Features:
- (mostly) better quality than popular Python trackers (pyin, pyaapt)
- robust to creaky voices and bad recordings
- does not need finetuning for min and max f0, works fine with both low and high pitched voices
- acceptable speed (~ 10x faster than librosa.pyin)
- (alternatively) a continuous pitch track, filling unvoiced gaps relatively naturally
- a wavelet decomposition of the pitch track (reversible, except for mean value)
- compatible with librosa's pyin and pytorch_audio spectrograms, regarding number of frames
- a command line tool for parallel batch processing of directories (as well as API)
Installation:
pip install pitchsqueezer
Examples of basic usage:
;; Command line, extract f0 for all wavs in a directory using 10 ms frame shift, save as numpy files
$ pitchsqueezer path/to/wavs/ -r 100 -f npy
;; API
import pitch_squeezer as ps
f0, if0 = ps.track_pitch(input_file, min_hz=50, max_hz=500)
f0_cwt = ps.f0_cwt(if0)
docs: https://asuni.github.io/PitchSqueezer/
Visualization of the method: 
comparison with librosa.pyin on creaky female voice: 