# CochlScene: Acquisition of acoustic scene data using crowdsourcing

arXiv: https://arxiv.org/abs/2211.02289 · HTML: https://mlsanity.com/paper/2211.02289/

## Key facts

- Cited by 33 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 4 Nov 2022.

## Built on by (most cited first, 30 of 33)

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- [TSPE: Task-Specific Prompt Ensemble for Improved Zero-Shot Audio Classification](https://mlsanity.com/paper/2501.00398/) (2024)
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- [Improving Audio Classification by Transitioning from Zero- to Few-Shot](https://mlsanity.com/paper/2507.20036/) (2025)
- [AMAuT: A Flexible and Efficient Multiview Audio Transformer Framework Trained from Scratch](https://mlsanity.com/paper/2510.19368/) (2025)
- [Eureka-Audio: Triggering Audio Intelligence in Compact Language Models](https://mlsanity.com/paper/2602.13954/) (2026)
- [Noise-Agnostic Multitask Whisper Training for Reducing False Alarm Errors in Call-for-Help Detection](https://mlsanity.com/paper/2501.11631/) (2025)
- [ASCMamba: Multimodal Time-Frequency Mamba for Acoustic Scene Classification](https://mlsanity.com/paper/2508.15632/) (2025)
- [IS3 : Generic Impulsive--Stationary Sound Separation in Acoustic Scenes using Deep Filtering](https://mlsanity.com/paper/2509.02622/) (2025)
- [DHAuDS: A Dynamic and Heterogeneous Audio Benchmark for Test-Time Adaptation](https://mlsanity.com/paper/2511.18421/) (2025)
- [EvA: An Evidence-First Audio Understanding Paradigm for LALMs](https://mlsanity.com/paper/2603.27667/) (2026)

## Abstract (arXiv)

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.