  In this paper we present our work on Task 1 Acoustic Scene Classi- fication
and Task 3 Sound Event Detection in Real Life Recordings. Among our experiments
we have low-level and high-level features, classifier optimization and other
heuristics specific to each task. Our performance for both tasks improved the
baseline from DCASE: for Task 1 we achieved an overall accuracy of 78.9%
compared to the baseline of 72.6% and for Task 3 we achieved a Segment-Based
Error Rate of 0.76 compared to the baseline of 0.91.
