def calculate(self, pcm_data):
sample_pack_size = 1024
pcm_mono = pcm.into_mono(pcm_data)
pcm_sample_packs = pcm.to_sample_packs(pcm_mono, sample_pack_size)
centroids = []
for sample_pack in pcm_sample_packs:
centroids.append(pcm.centroid(sample_pack))
centroid_sd = stats.standard_deviation(centroids)
return centroid_sd
def calculate(self, pcm_data):
sample_pack_size = 1024
pcm_mono = pcm.into_mono(pcm_data)
pcm_sample_packs = pcm.to_sample_packs(pcm_mono, sample_pack_size)
centroids = []
for sample_pack in pcm_sample_packs:
centroids.append(pcm.centroid(sample_pack))
centroid_avg = stats.average(centroids)
return centroid_avg
