遇见数据集

ToyADMOS dataset

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ToyADMOS dataset is a machine operating sounds dataset of approximately 540 hours of normal machine operating sounds and over 12,000 samples of anomalous sounds collected with four microphones at a 48kHz sampling rate, prepared by Yuma Koizumi and members in NTT Media Intelligence Laboratories. The dataset consists of three sub-dataset: "toy car" for product inspection task, "toy conveyor" for fault diagnosis for fixed machine task, and "toy train" for fault diagnosis for moving machine task. Since the total size of the ToyADMOS dataset is over 440GB, each sub-dataset is split into 7-9 files by 7-zip (7z-format). The total size of the compressed dataset is approximately 180GB, and that of each sub-dataset is approximately 60GB. Download the zip files corresponding to sub-datasets of interest and use your favorite compression tool to unzip these split zip files. The detail of the dataset is described in [1] and GitHub: https://github.com/YumaKoizumi/ToyADMOS-dataset License: see the file named LICENSE.pdf [1] Yuma Koizumi, Shoichiro Saito, Noboru Harada, Hisashi Uematsu and Keisuke Imoto, "ToyADMOS: A Dataset of Miniature-Machine Operating Sounds for Anomalous Sound Detection," in Proc of Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2019.

创建时间:
2024-07-22
搜集汇总
数据集介绍
ToyADMOS dataset 数据集图片
背景与挑战
背景概述
ToyADMOS dataset是一个用于异常声音检测的机器操作声音数据集,包含约540小时正常声音和超过12000个异常声音样本,以48kHz采样率通过四个麦克风采集。该数据集分为三个子数据集,分别对应产品检查、固定机器故障诊断和移动机器故障诊断任务,压缩后总大小约为180GB。
以上内容由遇见数据集搜集并总结生成
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