  Sound event detection and sound event localization requires different
features from audio input signals. While sound event detection mainly relies on
time-frequency patterns to distinguish different event classes, sound event
localization uses magnitude or phase differences between microphones to
estimate source directions. Therefore, we propose a two-step system to do sound
event localization and detection. In the first step, we detect the sound events
and estimate the directions-of-arrival separately. In the second step, we
combine the results of the event detector and direction-of-arrival estimator
together. The obtained results show a significant improvement over the baseline
solution for sound event localization and detection in DCASE 2019 task 3
challenge. Using the evaluation dataset, the proposed system achieved an F1
score of 93.4% for sound event detection and an error of 5.4 degrees for
direction-of-arrival estimation, while the winning solution achieved an F1
score of 94.7% and an angle error of 3.7 degrees respectively.
