A hybrid offline-online method for sound event localization and detection
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10489-024-05702-9.pdf
Reference40 articles.
1. Imoto K, Mishima S, Arai Y, Kondo R (2022) Impact of data imbalance caused by inactive frames and difference in sound duration on sound event detection performance. Appl Acoust 196:108882. https://doi.org/10.1016/j.apacoust.2022.108882
2. Chan TK, Chin CS (2020) A comprehensive review of polyphonic sound event detection. IEEE Access 8:103339–103373. https://doi.org/10.1109/ACCESS.2020.2999388
3. Park S, Han DK, Elhilali M (2023) Cross-referencing self-training network for sound event detection in audio mixtures. IEEE Trans Multimed 25:4573–4585. https://doi.org/10.1109/TMM.2022.3178591
4. Grumiaux P-A, Kitić S, Girin L, Guérin A (2022) A survey of sound source localization with deep learning methods. The J Acoust Soc Am 152(1):107–151. https://doi.org/10.1121/10.0011809
5. Chen J, Liang H, Wang R, Zeng J, Lu P (2023) Dynamic interactive learning network for audio-visual event localization. Appl Intell, pp 1–12. https://doi.org/10.1007/s10489-023-05146-7
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