from numpy import array, hamming, dot, mean, float, mod
from numpy.fft import rfft
from scipy.signal import firwin, lfilter
+from timeside.analyzer.preprocessors import frames_adapter
from ..tools.parameters import Float, HasTraits
self.nbFilters = 30
self.melFilter = melFilterBank(self.nbFilters, self.nFFT, samplerate)
+ self.wLen = 0.016
+ self.wStep = 0.008
+ self.input_blocksize = int(self.wLen * samplerate)
+ self.input_stepsize = int(self.wStep * samplerate)
+
@staticmethod
@interfacedoc
def id():
def __str__(self):
return "Speech confidences indexes"
+ @frames_adapter
def process(self, frames, eod=False):
'''