def analyze_soundfiles(path, resample_to=8000):
results = {}
for filename in ad.filelist(path):
f, samplerate = open_file(filename)
#se, se_t, se_sgments, energy, en_t, energy_segments = analyze(f, samplerate)
results[filename] = analyze(f, samplerate)
return results
def analyze_soundfiles(path, resample_to=8000):
results = {}
for filename in ad.filelist(path):
f, samplerate = open_file(filename)
#se, se_t, se_sgments, energy, en_t, energy_segments = analyze(f, samplerate)
results[filename] = analyze(f, samplerate)
return results
from __future__ import print_function
import activity_detection as ad
from matplotlib.pyplot import *
from scipy import signal
import sigproc as sigutil
import numpy as np
from aubio import source, pitch, freqtomidi
import evaluation as eva
try:
try:
import scikits.audiolab as al
except ImportError:
import audiolab as al
except ImportError:
al = None
from scipy.io import wavfile
sounds = []
for path in ad.filelist(ad.audio_path):
sound = ad.read_file(path)
if sound != None:
sounds.append(sound)
