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This report presents the Sony-TAu Realistic Spatial Soundscapes 2022 (STARS22) dataset for sound event localization and detection, comprised of spatial recordings of real scenes collected in various interiors of two different sites.
A. Mesaros, T. Heittola, and T. Virtanen, “Metrics for polyphonic sound event detection,”
2016
Earlier work this paper cites.
A. Politis and H. Gamper, “Comparing modeled and measurement-based spherical harmonic encoding filters for spherical microphone arrays,” in
2017
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J. F. Gemmeke, D. P. Ellis, D. Freedman, A. Jansen, W. Lawrence, R. C. Moore, M. Plakal, and M. Ritter, “Audio set: An ontology and human-labeled dataset for audio events,” in
2017
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S. Adavanne, A. Politis, J. Nikunen, and T. Virtanen, “Sound event localization and detection of overlapping sources using convolutional recurrent neural networks,”
2018
Earlier work this paper cites.
S. Adavanne, A. Politis, and T. Virtanen, “A multi-room reverberant dataset for sound event localization and detection,” in
2019
Earlier work this paper cites.
Y. Cao, Q. Kong, T. Iqbal, F. An, W. Wang, and M. Plumbley, “Polyphonic sound event detection and localization using a two-stage strategy,” in
2019
Earlier work this paper cites.
A. Mesaros, S. Adavanne, A. Politis, T. Heittola, and T. Virtanen, “Joint measurement of localization and detection of sound events,” in
2019
Cited alongside, same era.
A. Politis, A. Mesaros, S. Adavanne, T. Heittola, and T. Virtanen, “Overview and evaluation of sound event localization and detection in DCASE 2019,”
2020
Cited alongside, same era.
A. Politis, S. Adavanne, and T. Virtanen, “A dataset of reverberant spatial sound scenes with moving sources for sound event localization and detection,” in
2020
Cited alongside, same era.
M. Brousmiche, J. Rouat, and S. Dupont, “Secl-umons database for sound event classification and localization,” in
2020
Cited alongside, same era.
A. Politis, S. Adavanne, D. Krause, A. Deleforge, P. Srivastava, and T. Virtanen, “A dataset of dynamic reverberant sound scenes with directional interferers for sound event localization and detection,” in
K. Shimada, Y. Koyama, N. Takahashi, S. Takahashi, and Y. Mitsufuji, “ACCDOA: Activity-coupled cartesian direction of arrival representation for sound event localization and detection,” in
2021
Later among the works it cites.
E. Fonseca, X. Favory, J. Pons, F. Font, and X. Serra, “Fsd50k: an open dataset of human-labeled sound events,”
2021
Later among the works it cites.
K. Nagatomo, M. Yasuda, K. Yatabe, S. Saito, and Y. Oikawa, “Wearable seld dataset: Dataset for sound event localization and detection using wearable devices around head,” in
2022
Closest in time.
K. Shimada, Y. Koyama, S. Takahashi, N. Takahashi, E. Tsunoo, and Y. Mitsufuji, “Multi-accdoa: Localizing and detecting overlapping sounds from the same class with auxiliary duplicating permutation invariant training,” in
2022
Closest in time.
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2021
Cited alongside, same era.
E. Guizzo, R. F. Gramaccioni, S. Jamili, C. Marinoni, E. Massaro, C. Medaglia, G. Nachira, L. Nucciarelli, L. Paglialunga, M. Pennese,
2021
Cited alongside, same era.
T. N. T. Nguyen, D. L. Jones, K. N. Watcharasupat, H. Phan, and W.-S. Gan, “Salsa-lite: A fast and effective feature for polyphonic sound event localization and detection with microphone arrays,” in
2022
Closest in time.