Robust Sounds of Activities of Daily Living Classification in Two-Channel Audio-Based Telemonitoring

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%