Sound Event Localization and Detection Using Parallel Multi-attention Enhancement

Author:

Chen Zhengyu,Huang Qinghua

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Signal Processing

Reference61 articles.

1. S. Adavanne, A. Politis, T. Virtanen, Direction of arrival estimation for multiple sound sources using convolutional recurrent neural network. in 26th European Signal Processing Conference (EUSIPCO), pp. 1462–1466 (2018).

2. S. Adavanne, A. Politis, J. Nikunen, T. Virtanen, Sound event localization and detection of overlapping sources using convolutional recurrent neural networks. IEEE J. Sel. Topics Signal Process. 13, 34–48 (2019). https://doi.org/10.1109/JSTSP.2018.2885636

3. M.J. Bianco, S. Gannot, P. Gerstoft, Semi-supervised source lo-calization with deep generative modelling. in 30th IEEE International Workshop on Machine Learning for Signal Processing (MLSP) (2020).

4. M.S. Brandstein, H.F. Silverman, A high-accuracy low-latency technique for talker localization in reverberant environments using microphone arrays. in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 80–82 (1997).

5. C. Busso et al., Smart room: participant and speaker localization and identification. in 30th IEEE International Conference on Acoustics, Speech, and Signal Processing. (ICASSP), pp. 1117–1120 (2005).

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