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. 2013 Apr 22;2013:696813. doi: 10.1155/2013/696813

Table 3.

Classification accuracies of various combinations of source separation and sound activity detection methods for one of the microphone configurations of the noisy SDL database, across four different noise configurations. Despite this, source separation methods do provide relative reductions in error rate of up to 7%, 48%, and 2% compared with CSLE alone for the radio normal, rain, and radio loud conditions, respectively.

Method Radio normal Rain Radio loud Talking
(Mic 1 and Mic 2) (Mic 1 and Mic 2) (Mic 1 and Mic 2) (Mic 1 and Mic 2)
Baseline (channel with best SNR + Baseline SAD) 44.04% 61.39% 28.58% 39.54%
SAD alone: baseline SAD 56.33% 77.78% 32.92% 46.96%
SAD alone: CSLE 71.96% 97.18% 40.25% 69.45%
ICASDL_Apriori 44.54% 61.06% 29.71% 48.75%
ICASDL_Apriori + CSLE 71.63% 98.01% 41.04% 66.95%
ICABestMic 43.83% 61.30% 29.71% 41.54%
ICABestMic + CSLE 72.13% 97.08% 41.38% 67.12%
ICALeastNoise 43.04% 60.88% 30.46% 44.83%
ICALeastNoise + CSLE 72.00% 98.10% 41.50% 68.25%
ICASDL_BestSNR 44.46% 60.88% 29.50% 41.63%
ICASDL_BestSNR + CSLE 73.04% 97.50% 41.08% 67.75%
ICASDL_LeastNoise 43.83% 60.56% 30.42% 45.75%
ICASDL_LeastNoise + CSLE 73.79% 96.81% 40.88% 68.75%
ICASSA 44.08% 61.90% 29.83% 40.92%
ICASSA + CSLE 71.04% 97.04% 41.58% 68.21%