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IEEE ICME 2024 Grand Challenge: Semi-supervised Acoustic Scene Classification under Domain Shift Evaluation Dataset

<p>The Chinese Acoustic Scene (CAS) 2023 dataset is a large-scale dataset that serves as a foundation for research related to environmental acoustic scenes. The dataset includes 10 common acoustic scenes, with a total duration of over 130 hours. Each audio clip is 10 seconds long with metadata about the recording location and timestamp. The dataset was collected by members of the <em>Joint Laboratory of Environmental Sound Sensing at the School of Marine Science and Technology, Northwestern Polytechnical University</em>.&nbsp;The data collection period spanned from April 2023 to September 2023, covering 22 different cities across China.&nbsp;The CAS 2023 dataset was collected using the XS-SN-2BE1 manufactured by&nbsp;<em>Xi'an Lianfeng Acoustic Technologies Co., Ltd</em>&nbsp;(https://www.lfxstek.com/). &nbsp;</p> <p>The ICME 2024&nbsp;<em>Semi-supervised Acoustic Scene Classification under Domain Shift</em> challenge (https://2024.ieeeicme.org/grand-challenge-proposals/, https://ascchallenge.xshengyun.com/) dataset consists of development (https://zenodo.org/records/10616533) and evaluation datasets, all derived from the CAS 2023 dataset. The evaluation dataset includes 1,100 recordings, where&nbsp;data are selected from 12 cities, with 5 unseen cities specifically chosen to provide a more comprehensive evaluation of submissions under domain shift.</p> <p>Baseline: https://github.com/JishengBai/ICME2024ASC</p> <p>Acoustic scenes (10): Bus, Airport, Metro, Restaurant, Shopping mall, Public square, Urban park, Traffic street, Construction site, Bar</p>