def hfc(filename):
audio = MonoLoader(filename=filename, sampleRate=44100)()
features = []
for frame in FrameGenerator(audio, frameSize = 1024, hopSize = 512):
mag, phase =CartesianToPolar()(FFT()(Windowing(type='hann')(frame)))
features.append(OnsetDetection(method='hfc')(mag, phase))
return Onsets()(array([features]),[1])
def noveltycurve(filename):
audio = MonoLoader(filename=filename, sampleRate=44100)()
band_energy = []
for frame in FrameGenerator(audio, frameSize = 1024, hopSize = 512):
mag, phase, = CartesianToPolar()(FFT()(Windowing(type='hann')(frame)))
band_energy.append(FrequencyBands()(mag))
novelty = NoveltyCurve()(band_energy)
return Onsets()(np.array([novelty]),[1])
def f_essentia_extract(Audio):
## METODOS DE LIBRERIA QUE DETECTAN DONDE OCURRE CADA NOTA RESPECTO AL TIEMPO
od2 = OnsetDetection(method='complex')
# Let's also get the other algorithms we will need, and a pool to store the results
w = Windowing(type='hann')
fft = FFT() # this gives us a complex FFT
c2p = CartesianToPolar(
) # and this turns it into a pair (magnitude, phase)
pool = essentia.Pool()
# Computing onset detection functions.
for frame in FrameGenerator(Audio, frameSize=1024, hopSize=512):
mag, phase, = c2p(fft(w(frame)))
pool.add('features.complex', od2(mag, phase))
## inicio de cada "nota"
onsets = Onsets()
tiempos_detectados_essentia = onsets(
essentia.array([pool['features.complex']]), [1])
#print(tiempos_detectados_essentia)
return tiempos_detectados_essentia
sampleRate = 44100 frameSize = 2048 hopSize = 1024 windowType = "hann" mean = Mean() keyDetector = essentia.standard.Key(pcpSize=12) spectrum = Spectrum() window = Windowing(size=frameSize, zeroPadding=0, type=windowType) mfcc = MFCC() gaussian = SingleGaussian() od = OnsetDetection(method='hfc') fft = FFT() # this gives us a complex FFT c2p = CartesianToPolar() # and this turns it into a pair (magnitude, phase) onsets = Onsets(alpha=1) # dissonance spectralPeaks = SpectralPeaks(sampleRate=sampleRate, orderBy='frequency') dissonance = Dissonance() # barkbands barkbands = BarkBands(sampleRate=sampleRate) # zero crossing rate # zerocrossingrate = ZeroCrossingRate() # odd-to-even harmonic energy ratio # odd2evenharmonicenergyratio = OddToEvenHarmonicEnergyRatio() # energybands