Multi-speaker DoA Estimation Using Audio and Visual Modality
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software
Link
https://link.springer.com/content/pdf/10.1007/s11063-023-11183-7.pdf
Reference40 articles.
1. Adavanne S, Politis A, Virtanen T (2018) Direction of arrival estimation for multiple sound sources using convolutional recurrent neural network. In: 26th european signal processing conference (EUSIPCO), pp 1462–1466
2. Adavanne S, Politis A, Nikunen J, Virtanen T (2019) Sound event localization and detection of overlapping sources using convolutional recurrent neural networks. IEEE J Sel Top Signal Process 13(1):34–48
3. Adavanne S, Politis A, Virtanen T (2019b) Localization, detection and tracking of multiple moving sound sources with a convolutional recurrent neural network. In: Proceedings of the workshop on detection and classification of acoustic scenes and events (DCASE)
4. Adavanne S, Politis A, Virtanen T (2021) Differentiable tracking-based training of deep learning sound source localizers. In: IEEE workshop on applications of signal processing to audio and acoustics (WASPAA), pp 211–215
5. Argentieri S, Danès P, Souères P (2015) A survey on sound source localization in robotics: from binaural to array processing methods. Comput Speech Lang 34(1):87–112
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