Common Sounds in Bedrooms (CSIBE) Corpora

These audio corpora can be used for domestic sound event recognition. The current sound events in the datasets: baby cry, bell, cat meow, cicada, dog bark, fart, guitar, laugh, parrot, piano, speech, traffic, vacuum cleaner and the background sounds. This latter class can model the ambient sounds which are probably not important for a robot or their short audition is not sufficient for a human without visual cue: door, drawer, keys, knock, pen, chair, cup, keyboard, breathing, throat, cough, microwave, steps and zip. Currently, there are two parts: - CSIBE-RAW: Human speech and other events were collected from the internet in this dataset, complemented with new recordings.The samples had excellent and clear sound quality, they were stored in mono WAV format with 16 bit depth, 44.1 kHz sampling rate. All files were labeled according to the sound event type. - CSIBE-AIBO: CSIBE-RAW was recorded again with a robot. The original sounds were played back on a high-quality speaker and the result was recorded with the stereo microphones of a Sony ERS-7 robot in a silent room. Four configurations were used relative to the robot: 1. Reverberant room, speaker was 1 meter away, 30⁰ counterclockwise to the head. 2. Non-reverberant room, speaker was 1 meter away, 30⁰ counterclockwise to the head. 3. Reverberant room, speaker was 3 meters away, 1 meter high, 180⁰ clockwise to the head. 4. Non-reverberant room, speaker was 3 meters away, 1 meter high, 180⁰ clockwise to the head. These conditions were varied to get such sound recordings which contains dynamics of the robot microphones, different reverberant conditions and various positions of the sound sources. All licenses of the original sounds are included in the dataset.本音频语料库可用于家庭声事件识别。当前数据集涵盖的声事件类别包括：婴儿啼哭、门铃声、猫叫、蝉鸣、犬吠、放屁声、吉他演奏声、笑声、鹦鹉鸣叫声、钢琴演奏声、语音、交通噪声、吸尘器运行声，以及背景声音类。该背景类涵盖了对机器人而言可能无关紧要，或人类在无视觉提示时仅凭短暂聆听无法有效辨识的环境声响：门开关声、抽屉开合声、钥匙碰撞声、敲击声、笔触声、座椅挪动声、杯具碰撞声、键盘敲击声、呼吸声、咽喉杂音、咳嗽声、微波炉运行声、脚步声以及拉链拉动声。 目前数据集包含两个子数据集： - CSIBE-RAW：该子数据集的人类语音及其他声事件素材均源自互联网采集，并补充了全新录制的音频样本。所有样本音质清晰优异，采用单声道WAV格式存储，位深度为16比特，采样率为44.1 kHz。所有音频文件均已按照声事件类型完成标注。 - CSIBE-AIBO：该子数据集通过机器人复刻录制CSIBE-RAW中的原始音频。具体实现流程为：将原始音频通过高品质扬声器播放，随后在静音室内使用索尼（Sony）ERS-7型机器人的立体声麦克风采集播放后的声音。实验共设置四种录制配置，相对于机器人的位置参数如下： 1. 混响房间场景：扬声器距机器人1米，位于机器人头部逆时针30°方位。 2. 非混响房间场景：扬声器距机器人1米，位于机器人头部逆时针30°方位。 3. 混响房间场景：扬声器距机器人3米、高度1米，位于机器人头部顺时针180°方位。 4. 非混响房间场景：扬声器距机器人3米、高度1米，位于机器人头部顺时针180°方位。 上述配置的设置旨在获取覆盖机器人麦克风声学特性、不同混响环境以及声源多样位置的音频录制样本，以涵盖各类动态变化的声学场景。本数据集已包含所有原始音频的授权许可文件。

搜集汇总

背景与挑战

背景概述

Common Sounds in Bedrooms (CSIBE) Corpora是一个用于家庭声音事件识别的音频数据集，包含婴儿哭声、狗叫声等14种具体声音事件以及背景声音类别。数据集分为两部分：CSIBE-RAW提供高质量原始音频样本，而CSIBE-AIBO通过机器人录制模拟了不同房间条件和声源位置，以增强数据多样性。