In this paper we present our work on Task 1 Acoustic Scene Classification 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 14 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'
Citation: Elizalde, Benjamin, Anurag Kumar, Ankit Shah, Rohan Badlani, Emmanuel Vincent, Bhiksha Raj, and Ian Lane. “Experimentation on the DCASE challenge 2016: Task 1—Acoustic scene classification and task 3—Sound event detection in real life audio.” IEEE AASP Challenge: Detection and Classification of Acoustic Scenes and Events (2016).