data_loaders.py 文件源码

def get_num_examples(self, wavlists, labellists, num_examples, num_features):
        for n,(w, l) in enumerate(zip(wavlists, labellists)):
            fs, au = wav.read(w)
            # Extract Spectrum of audio inputs
            melf = mfcc(au, samplerate = fs, numcep = self.num_features, winlen=0.025, winstep=0.01, nfilt=self.num_features)
            #melf = (melf - np.mean(melf))/np.std(melf)
            self.mel_freq.append(melf)
            melf_target = self.labelprocessing(l)
            self.target_label.append(melf_target)
            if n == num_examples - 1:
                break
            if melf.shape[0] <= len(melf_target):
                t = w,l
                self.length_check.append(t) 

     # Split transcript into each label