ToyADMOS2: miniature-machine operating sounds for anomalous sound detection 核心 · 已核验
atlas:toyadmos2-sound-dataset
ToyADMOS2 dataset is a large-scale dataset for anomaly detection in machine operating sounds (ADMOS), designed for evaluating systems under domain-shift conditions. It consists of two sub-datasets for machine-condition inspection: fault diagnosis of machines with geometrically fixed tasks ("toy car") and fault diagnosis of machines with moving tasks ("toy train"). Domain shifts are represented by introducing several differences in operating conditions, such as the use of the same machine type but with different machine models and part configurations, different operating speeds, microphone arrangements, etc. Each sub-dataset contains over 27 k samples of normal machine-operating sounds and over 8 k samples of anomalous sounds recorded at a 48-kHz sampling rate. A subset of the ToyADMOS2 dataset was used in the DCASE 2021 challenge task 2: Unsupervised anomalous sound detection for machine condition monitoring under domain shifted conditions. What makes this dataset different from others is that it is not used as is, but in conjunction with the tool provided on GitHub. The mixer tool lets you create datasets with any combination of recordings by describing the amount you need in a <em>recipe</em> file. The samples are compressed as MPEG-4 ALS (MPEG-4 Audio Lossless Coding) with a suffix of '.mp4' that you can load by using the <em>audioread</em> or <em>librosa</em> python module. The total size of files under a folder ToyADMOS2 is 149 GB, and the total size of example benchmark datasets that are created from the ToyADMOS2 dataset is 13.2 GB. The detail of the dataset is described in [1] and GitHub: https://github.com/nttcslab/ToyADMOS2-dataset License: see LICENSE.pdf for the detail of the license. [1] Noboru Harada, Daisuke Niizumi, Daiki Takeuchi, Yasunori Ohishi, Masahiro Yasuda, and Shoichiro Saito, "ToyADMOS2: Another dataset of miniature-machine operating sounds for anomalous sound detection under domain shift conditions," 2021. https://arxiv.org/abs/2106.02369
- 落地页
- https://zenodo.org/records/4580270
- 许可证
- other-nc (判读置信:verified_official)
- 国内可访问性
-
国内直连:可达 (2026-07-11 检测)
代理通道:可达 (2026-07-11 检测)
检测口径:lychee 双通道单轮探测;「直连超时」表示检测窗口内未完成,系慢或不稳定证据,不构成封锁证据。 - 发布年份
- 2021
- 发布方
- Zenodo
- 设备类型
other- PHM 任务
anomaly_detectiondomain_adaptation
故障工况
| description: 微型机(玩具车/玩具列车)人工损伤部件运行异常声fault_type: otherinduction: artificially_seeded |
传感器
| sensor_type: microphoneobserved_property: acoustic_pressuremounting_note: 多传声器近/远场同步录音 |
运行工况
| description: 域偏移设计:背景噪声/传声器配置/运行速度等条件系统性变化condition_type: environmentis_varying: True |
溯源(PROV,6 条)
| source_citation: curation/dataset-shortlist-v0.yaml(manual(Zenodo,DOI 已核))retrieved_on: 2026-07-08asserted_by: automated_harvestnote: 由清单条目初始化的最小候选卡 |
| about_field: description,publisher,publication_year,license_idsource_url: https://api.datacite.org/dois/10.5281/zenodo.4580270retrieved_on: 2026-07-08asserted_by: automated_harvestnote: DataCite REST 元数据回填;仅填空字段,人工值不覆盖 |
| about_field: tasks,equipment_types,fault_conditions,sensors,operating_conditionssource_citation: facet-batch-07.yamlretrieved_on: 2026-07-08asserted_by: automated_extractionnote: 代理归纳刻面(依据:Zenodo API record 4580270(2026-07-08 DOI 核:2021-06-03,license other-nc));候选区,晋升需人工核验 |
| about_field: license_id,license_confidencesource_url: https://zenodo.org/api/records/4580270retrieved_on: 2026-07-08asserted_by: human_curatornote: batch-07 判读修正:DataCite 回填的 Open Access 为访问状态非许可证;Zenodo 官方 license=other-nc(NTT 自定义非商用,非 SPDX),发布通道留注(ADR-25) |
| about_field: china_accessibilitysource_citation: KLS-009 链接健康扫描(lychee 双通道)retrieved_on: 2026-07-11asserted_by: automated_harvestnote: 定期刷新标注,仅覆盖本字段;历史结果以最新扫描为准 |
| about_field: source_citation: 人工核验:zfbin(三问拍板 2026-07-11)retrieved_on: 2026-07-11asserted_by: human_curatorconfidence_level: human_verifiednote: 晋升核心区。license 清账③:数据集自身 other-nc(官方页核实)不阻碍元数据收录(与在库NC 系核心卡同理,dump 免责文案统一覆盖,ADR-25);KLS-012 满卡实质核验早已完成,许可暂缓因素消除(2026-07-11 用户拍板) |