6eb57a4f0a564359e23f0427cf72b0736210112e,cube/models/vocoder.py,BeeCoder,learn,#BeeCoder#Any#Any#Any#,119

Before Change

                                                                    noise[
                                                                    self.UPSAMPLE_COUNT * mgc_index:self.UPSAMPLE_COUNT * mgc_index + 2 * self.UPSAMPLE_COUNT])

                loss = dy.l1_distance(output, dy.inputVector(wave[
                                                             self.UPSAMPLE_COUNT * mgc_index:self.UPSAMPLE_COUNT * mgc_index + self.UPSAMPLE_COUNT]))
                losses.append(loss)
                cnt += self.UPSAMPLE_COUNT

After Change

                o1 = dy.pickrange(output, 0, self.UPSAMPLE_COUNT - 1)
                o2 = dy.pickrange(output, 1, self.UPSAMPLE_COUNT)
                delta = o2 - o1
                real_delta = t_vect[1:self.UPSAMPLE_COUNT] - t_vect[0:self.UPSAMPLE_COUNT - 1]
                loss += dy.squared_distance(delta, dy.inputVector(real_delta))
                // excitation error
                //loss += dy.sum_elems(excitation)
                //o1 = dy.pickrange(excitation, 0, self.UPSAMPLE_COUNT - 1)

Instances