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This report describes our systems submitted to the DCASE2021 challenge task3: sound event localization and detection (SELD) with directional interference.Our previous system based on activity-coupled Cartesian direction of arrival(ACCDOA) representation enables us to solve a SELD task with a single target.This ACCDOA-based system with efficient network architecture called RD3Net anddata augmentation techniques outperformed state-of-the-art SELD systems interms of localization and location-dependent detection. Using the ACCDOA-basedsystem as a base, we perform model ensembles by averaging outputs of severalsystems trained with different conditions such as input features, trainingfolds, and model architectures. We also use the event independent network v2(EINV2)-based system to increase the diversity of the model ensembles. Togeneralize the models, we further propose impulse response simulation (IRS),which generates simulated multi-channel signals by convolving simulated roomimpulse responses (RIRs) with source signals extracted from the originaldataset. Our systems significantly improved over the baseline system on thedevelopment dataset.

Ensemble of ACCDOA- and EINV2-based Systems with D3Nets and Impulse Response Simulation for Sound Event Localization and Detection