HornBase - A Car Horns Dataset

To provide data for machine learning models capable of classifying car horns in a traffic environment, we created HornBase, a dataset comprising 1080 audio files of exactly one-second duration each, manually labeled and balanced into two classes: horn and not horn. The audio excerpts were collected in ten specific situational scenarios in which the audio signals can be received in the car where the horn will be analyzed, as well as three different horn styles: a short honk, a long one, and an intermittent sequence of three consecutive short honks. For each possible audio segment, three temporal windows are cut, with the first containing the initial half of a horn, the second containing the entire horn, and the third containing the final half of a horn.

搜集汇总

背景与挑战

背景概述

HornBase是一个专门用于机器学习模型分类汽车喇叭声的音频数据集，包含1080个时长为1秒的音频文件，手动标记并平衡为'喇叭'和'非喇叭'两类。数据在10种交通场景中收集，涵盖三种喇叭风格，并为每个音频段提供了三个时间窗口，以增强模型的训练效果。