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Dataset . 2019
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Dataset . 2019
Data sources: Datacite
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Dataset . 2019
Data sources: ZENODO
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Dataset . 2019
Data sources: Datacite
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Dataset . 2019
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Research.fi
Dataset . 2019
Data sources: Research.fi
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TAU Spatial Sound Events 2019 - Ambisonic and Microphone Array, Development Datasets

Authors: Sharath Adavanne; Archontis Politis; Tuomas Virtanen;

TAU Spatial Sound Events 2019 - Ambisonic and Microphone Array, Development Datasets

Abstract

This package consists of two development datasets, TAU Spatial Sound Events 2019 - Ambisonic and TAU Spatial Sound Events 2019 - Microphone Array. These datasets contain recordings from an identical scene, with TAU Spatial Sound Events 2019 - Ambisonic providing four-channel First-Order Ambisonic (FOA) recordings while TAU Spatial Sound Events 2019 - Microphone Array provides four-channel directional microphone recordings from a tetrahedral array configuration. Both formats are extracted from the same microphone array. The recordings in the two datasets 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. These development datasets are part of the DCASE 2019 Sound Event Localization and Detection Task. Both 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. The IRs were collected in Finland by Tampere University between 12/2017 - 06/2018. The data collection received funding from the European Research Council, grant agreement 637422 EVERYSOUND. Download instructions The three files, foa_dev.z01, foa_dev.z02 and foa_dev.zip, correspond to audio data of TAU Spatial Sound Events 2019 - Ambisonic development dataset. The two files, mic_dev.z01 and, mic_dev.zip, correspond to audio data of TAU Spatial Sound Events 2019 - Microphone Array development dataset. The metadata_dev.zip is the common metadata for both TAU Spatial Sound Events 2019 - Ambisonic and TAU Spatial Sound Events 2019 - Microphone Array development datasets. Download the zip files corresponding to the dataset of interest and use your favorite compression tool to unzip these split zip files.

Country
Finland
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Keywords

Computational Auditory Scene Analysis, DOA Estimation, Ambisonic, Sound Event Localization and Detection, Sound Event Detection, Acoustic Event Detection

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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