CochlScene: Acquisition of acoustic scene data using crowdsourcing

TL;DR

This paper introduces CochlScene, a large-scale acoustic scene dataset collected via crowdsourcing, along with a validation process and baseline system to facilitate future research in acoustic scene classification.

Contribution

It presents a novel crowdsourcing pipeline for collecting acoustic data and introduces the CochlScene dataset with a reliable data split and baseline system.

Findings

76,000 samples collected from 831 participants

13 distinct acoustic scenes included in the dataset

Baseline system provided for future research

Abstract

This paper describes a pipeline for collecting acoustic scene data by using crowdsourcing. The detailed process of crowdsourcing is explained, including planning, validation criteria, and actual user interfaces. As a result of data collection, we present CochlScene, a novel dataset for acoustic scene classification. Our dataset consists of 76k samples collected from 831 participants in 13 acoustic scenes. We also propose a manual data split of training, validation, and test sets to increase the reliability of the evaluation results. Finally, we provide a baseline system for future research.