Improved RawNet with Feature Map Scaling forText-independent Speaker Verification using Raw Waveforms
Table 4: Experimental results of replacing the first strided convolution layer with varying sinc-conv layer length proposed in SincNet [4, 12]. Applied to System #11-mul-add of Table 3.
['System', 'Sinc-conv length', 'EER', 'RER']
Here, we used System #11 to perform these comparative experiments. The result demonstrates that it provides 3.12 % additional improvement in System #15. However, the performance was easily affected by the length of the sinc-conv layer, i.e., setting an overly long filter length reduced performance. In the following, we refer to System #15 that demonstrates the best performance as ‘RawNet2’ for brevity. RawNet2 demonstrates an RER of 48.33 % compared to the original RawNet (System #1), thereby nearly halving the EER.