def __init__(self, dictionary, mode):
"""
Initial the Retrival Object, including parameters (sample rate, hashing density,
freqency offset, number of keys used in hashing) and initializing hashing table.
"""
self.sr = 8000
# the target hashes-per-sec
self.density = 20
# number of hash keys are corresponded to the composition of landmarks
# They are <freq-bin number, delta frequency, delta time span>
self.nkey = 3
# The fist two elements relate with spectrumgram and FFT bands
# The last is relevant with the targetdt in find_landmarks
# The calculate of hashlength is log2(original value)
self.hashlength = [8,6,8]
# time span for sampling
self.hopt = 0.01
# Configures for extract time slot from database
self.window = 4500 # extract features within 45s
self.step = 20 # the searching step is 200ms
# load the trained SVM classifier
self.svm = LibSvm.load_model("svm.model")
# Take frequncy offset into consideration
self.freqoffset = 4
self.numoftable = 10
self.dict = dictionary
self.mode = mode