swipe¶
- libf0.swipe.swipe(x, Fs=22050, H=256, F_min=55.0, F_max=1760.0, dlog2p=0.010416666666666666, derbs=0.1, strength_threshold=0)[source]¶
Implementation of a sawtooth waveform inspired pitch estimator (SWIPE). This version of the algorithm follows the original implementation, see swipe_slim for a more efficient alternative.
- 1
Arturo Camacho and John G. Harris, “A sawtooth waveform inspired pitch estimator for speech and music.” The Journal of the Acoustical Society of America, vol. 124, no. 3, pp. 1638–1652, Sep. 2008
- Parameters
x (ndarray) – Audio signal
Fs (int) – Sampling rate
H (int) – Hop size
F_min (float or int) – Minimal frequency
F_max (float or int) – Maximal frequency
dlog2p (float) – resolution of the pitch candidate bins in octaves (default value = 1/96 -> 96 bins per octave)
derbs (float) – resolution of the ERB bands (default value = 0.1)
strength_threshold (float) – confidence threshold [0, 1] for the pitch detection (default value = 0)
- Returns
f0 (ndarray) – Estimated F0-trajectory
t (ndarray) – Time axis
strength (ndarray) – Confidence/Pitch Strength
- libf0.swipe.pitch_strength_all_candidates(ferbs, loudness, pitch_candidates)[source]¶
Compute pitch strength for all pitch candidates
- libf0.swipe.pitch_strength_one(erbs_frequencies, normalized_loudness, pitch_candidate)[source]¶
Compute pitch strength for one pitch candidate
- libf0.swipe.interpolate_one_candidate(pitch_strength, ti, resampled_time)[source]¶
Interpolate time axis