Discriminative Multi-modality Speech Recognition
Table 4: Energy errors between original noise-free audio magnitudes and enhanced magnitudes produced by different audio enhancement models.
['[BOLD] Audio source', 'SNR dB', '[BOLD] Magnitude error % -5', '[BOLD] Magnitude error % 0', '[BOLD] Magnitude error % 5']
We also introduce an energy error function to measure the effect of audio enhancement models as follow: ΔM=∥M−Mo∥2∥Mo∥2 (1) where M is the magnitudes of noisy audio or enhanced audio, Mo is the original audio without mixing noises, ΔM is the deviation results between M and Mo. We chose 10,000 noise-free samples that are added to babble noises with SNR of -5 dB, 0 dB and 5 dB separately to compare the enhancement performance between 1DRN-AE and TCN-AE networks. We average the ΔM results among samples at each SNR-level.