The table below compares the DWF-ML AI noise suppression on NDP120 and NDP115 to widely cited baseline neural networks in the Deep Noise Suppression (DNS) Challenges of the scientific community. The 2020 DNS Challenge provides a common test set of clean and wideband noise speech files for comparing noise suppression performance. The set contains 12 different noise categories at SNR levels between 0dB and 25dB. Most commonly, a single lumped score across the entire test set is used.

For 3 DWF-ML sized implementations on NDP120 and NDP115 and reference networks from DNS1 (2020) and DNS3 (2021), the table lists the size (number of parameters), ITU-T P.862.2 Corrigendum 1 (WB-PESQ) scores achieved on the DNS1 test set, delay, NDP implementation, and power consumption. As an additional performance reference, a very large network (FCRN/PESQNet) is also included.