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.