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. 2024 Feb 28;10:e1901. doi: 10.7717/peerj-cs.1901

Table 2. Experimental design.

Technique Techniques used in the multi-channel speech enhancement system Speech database SNR/dB Noises
The existing BAV-MCSE Beamforming, ANR and VAD AURORA −10 dB,
−5 dB, 0 dB, 5 dB, 10 dB,
15 dB
Stationary Noise: White Gaussian noise Non-stationary Noises:
Airport, Babble, Car, Exhibition, Restaurant
Proposed DWT-CNN-MCSE Convolution neural network (CNN) and discrete wavelet feature extraction (DWT) technique AURORA −10 dB,
−5 dB, 0 dB, 5 dB, 10 dB,
15 dB
Stationary Noise: White Gaussian noise Non-stationary Noises:
Airport, Babble, Car, Exhibition, Restaurant
LibriSpeech −10 dB,
−5 dB, 0 dB, 5 dB, 10 dB, 15 dB
N/A Dog bark noise, Fan noise, Ambulance noise