From f98063b27bf9014142bfaae0e7a63a1d5cd49cae Mon Sep 17 00:00:00 2001 From: Paul Brossier Date: Thu, 2 Feb 2017 02:39:05 +0100 Subject: [PATCH 1/1] python/demos/demo_bench_yin.py: add yin/yinfft benchmark on sine waves --- python/demos/demo_bench_yin.py | 50 ++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 50 insertions(+) create mode 100755 python/demos/demo_bench_yin.py diff --git a/python/demos/demo_bench_yin.py b/python/demos/demo_bench_yin.py new file mode 100755 index 00000000..0d03c05c --- /dev/null +++ b/python/demos/demo_bench_yin.py @@ -0,0 +1,50 @@ +#! /usr/bin/env python + +import numpy as np +from aubio import pitch +import pylab as plt + +buf_size = 2048 * 1 +hop_size = buf_size // 4 + +samplerate = 44100 +minfreq = 40 +maxfreq = 6000 + +def sinewave(freq, duration, samplerate = samplerate): + """ generate a sinewave """ + length = hop_size + while length < duration * samplerate: + length += hop_size + return np.sin( 2. * np.pi * np.arange(length) * freq / samplerate ).astype("float32") + +def get_stats_for_pitch_method(method, freqs, samplerate = samplerate): + """ for a given pitch method and a list of frequency, generate a sinewave + and get mean deviation """ + means = np.zeros(len(freqs)) + medians = np.zeros(len(freqs)) + for freq, fn in zip(freqs, range(len(freqs))): + s = sinewave(freq, .50).reshape(-1, hop_size) + #s = (sinewave(freq, .50) + .0*sinewave(freq/2., .50)).reshape(-1, hop_size) + p = pitch(method, buf_size, hop_size, samplerate = samplerate) + candidates = np.zeros(len(s)) + #samples = np.zeros(buf_size) + for frame, i in zip(s, range(len(s))): + candidates[i] = p(frame)[0] + # skip first few candidates + candidates = candidates[4:] + means[fn] = np.mean(candidates[candidates != 0] - freq) + medians[fn] = np.median(candidates[candidates != 0] - freq) + print (freq, means[fn], medians[fn]) + return means, medians + +if __name__ == '__main__': + freqs = np.arange(minfreq, maxfreq, 1.) + modes = ["yin", "yinfft"] + for mode in modes: + means, medians = get_stats_for_pitch_method(mode, freqs) + plt.figure() + plt.plot(freqs, means, 'g-') + plt.plot(freqs, medians, 'r--') + #plt.savefig(mode + '_deviations_test.png', dpi=300) + plt.show() -- 2.11.0