TAU Spatial Sound Events 2019 - Ambisonic

The TAU Spatial Sound Events 2019 - Ambisonic dataset contains recordings from a scene (along with the Microphone Array sister dataset). It provides four-channel First-Order Ambisonic (FOA) recordings. The recordings consist of stationary point sources from multiple sound classes each associated with a temporal onset and offset time, and DOA coordinate represented using azimuth and elevation angle. The development set consists of 400, one minute long recordings sampled at 48000 Hz, and divided into four cross-validation splits of 100 recordings each. These recordings were synthesized using spatial room impulse response (IRs) collected from five indoor locations, at 504 unique combinations of azimuth-elevation-distance. Furthermore, in order to synthesize the recordings, the collected IRs were convolved with isolated sound events dataset from DCASE 2016 task 2. Finally, to create a realistic sound scene recording, natural ambient noise collected in the IR recording locations was added to the synthesized recordings such that the average SNR of the sound events was 30 dB.

Source: https://zenodo.org/record/2580091 Image Source: http://dcase.community/challenge2019/task-sound-event-localization-and-detection#audio-dataset