Isolated urban sound database
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The Isolated urban sound database contains the audio samples used to design urban sound mixtures using SimScene software. This database has already been used to design urban sound mixtures that can be found in Estimation of the road traffic sound levels based on Non-Negative Matrix Factorization dataset [1] and in Realistic urban sound mixture dataset [2] The dataset contains two folders : - 'event' which includes includes 231 brief sound samples considered as salient, with a 1 to 20 seconds duration and classified among 21 sound classes (ringing bell, whistling bird, car horn, passing car, hammer, barking dog, siren, footstep, metallic noise, voice...) - 'background' which includes 162 long duration sounds (~1mn30), whose acoustic properties do not vary in time. This category includes among others, whistling bird, crowd noise, rain, children playing in schoolyard, constant traffic noise ... More details on this sound database can be found in [3] [1] J.-R. Gloaguen, M. Lagrange, A. Can, J.-F. Petiot, Estimation of the road traffic sound levels in urban areas based on non-negative matrix factorization techniques, submitted for publication [2] J.-R. Gloaguen, A. Can, M. Lagrange, J.-F. Petiot, Road traffic sound level estimation from realistic urban sound mixtures by Non-negative Matrix Factorization, submitted for publication [3] J.-R. Gloaguen, A. Can, M. Lagrange, J.-F. Petiot, Creation of a corpus of realistic urban sound scenes with controlled acoustic properties, in: Acoustics ’17 Boston, Vol. 141 of The Journal of the Acoustical Society of America, Acoustical Society of America and the European Acoustics Association, Boston, United States, 2017, pp. 4044–4044.
孤立城市声音数据库（Isolated urban sound database）包含用于借助SimScene软件制作城市声音混合样本的音频片段。该数据库已被用于构建可在《基于非负矩阵分解（Non-Negative Matrix Factorization）的道路交通声级估算数据集》[1]以及《真实感城市声音混合数据集》[2]中出现的城市声音混合样本。 该数据集包含两个文件夹： - "event"（事件）文件夹：内含231个被视为显著声源的短时声音样本，时长为1至20秒，共分为21个声音类别，包括鸣钟、鸟鸣、汽车鸣笛、过往车辆、敲击声、犬吠、警报声、脚步声、金属噪声、人声等。 - "background"（背景）文件夹：内含162个长时声音样本（时长约1分30秒），其声学特性不随时间发生变化。该类别涵盖鸟鸣、人群噪声、雨声、校园儿童嬉戏声、持续交通噪声等多种声源。 有关该声音数据库的更多详细信息可参阅文献[3]。 [1] J.-R. Gloaguen, M. Lagrange, A. Can, J.-F. Petiot. 基于非负矩阵分解技术的城市道路交通声级估算，已投稿待刊。 [2] J.-R. Gloaguen, A. Can, M. Lagrange, J.-F. Petiot. 基于非负矩阵分解从真实感城市声音混合样本中估算道路交通声级，已投稿待刊。 [3] J.-R. Gloaguen, A. Can, M. Lagrange, J.-F. Petiot. 构建具有可控声学特性的真实城市声音场景语料库，载于：《Acoustics ’17 Boston》，美国声学学会与欧洲声学学会联合出版的《The Journal of the Acoustical Society of America》第141卷，美国波士顿，2017年，第4044–4044页。
