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. Author manuscript; available in PMC: 2020 Jan 1.
Published in final edited form as: J Acoust Soc Am. 2019 Jul 1;146(1):705. doi: 10.1121/1.5119226

Table 1.

Objective measure scores: HIT-FA alarm rates (with FA scores in brackets), mean square error (MSE) between ERM and IRM, and NCM and STOI scores for the RNN algorithms used in the listening experiment, RNN-B and RNN-T, and for UN and IRM in both test noise conditions (20-talker babble and traffic noises) and three SNRs. The table shows results both for matched-noise (RNN-B in babble, RNN-T in traffic) and unmatched-noise (RNN-B in traffic, RNN-T in babble) conditions between training and testing.

Tested with babble noise Tested with traffic noise
Metric SNR UN RNN-B RNN-T IRM UN RNN-T RNN-B IRM
HIT-FA (FA) 0 65 (18) 30 (53) 74 (18) 71 (14)
5 78 (9) 46 (42) 80 (10) 77 (9)
10 82 (3) 62 (25) 84 (6) 79 (4)
MSE 0 0.079 0.230 0.064 0.061
5 0.039 0.170 0.037 0.041
10 0.028 0.100 0.028 0.036
STOI 0 0.71 0.77 0.74 0.91 0.82 0.86 0.85 0.94
5 0.82 0.87 0.86 0.94 0.90 0.92 0.91 0.96
10 0.90 0.93 0.92 0.96 0.94 0.95 0.95 0.98
NCM 0 0.55 0.71 0.63 0.92 0.72 0.81 0.79 0.96
5 0.74 0.87 0.82 0.96 0.85 0.91 0.90 0.98
10 0.89 0.95 0.94 0.99 0.93 0.96 0.95 0.99