Acoustic scene classification in DCASE 2020 Challenge: generalization across devices and low complexity solutions
Toni Heittola, Annamaria Mesaros, Tuomas Virtanen

TL;DR
This paper discusses the DCASE 2020 Challenge task on acoustic scene classification, focusing on generalization across devices and low-complexity solutions, providing datasets and baselines for these challenges.
Contribution
It introduces a new challenge framework with datasets and baselines for evaluating generalization and low-complexity solutions in acoustic scene classification.
Findings
Baseline systems established for the challenge
Analysis of submissions to be added after deadline
Focus on cross-device generalization and low-complexity methods
Abstract
This paper presents the details of Task 1: Acoustic Scene Classification in the DCASE 2020 Challenge. The task consists of two subtasks: classification of data from multiple devices, requiring good generalization properties, and classification using low-complexity solutions. Here we describe the datasets and baseline systems. After the challenge submission deadline, challenge results and analysis of the submissions will be added.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMusic and Audio Processing · Speech and Audio Processing · Speech Recognition and Synthesis
