High-fidelity wave-based and hybrid room-acoustic simulations for training-data augmentation improve SpatialNet multichannel speech enhancement, delivering up to 38% relative median WER reduction on measured data versus geometrical-acoustics baselines.
Figure 2 shows the me- dian WER of all models under the investigated overlap con- ditions, with bootstrapped 95 % confidence intervals
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Improving multichannel speech enhancement through accurate room-acoustic simulations
High-fidelity wave-based and hybrid room-acoustic simulations for training-data augmentation improve SpatialNet multichannel speech enhancement, delivering up to 38% relative median WER reduction on measured data versus geometrical-acoustics baselines.