Room Geometry Estimation from Higher-Order Ambisonics Signals using Convolutional Recurrent Neural Networks

Details

Original language	English
Publication status	Published - 6 May 2021
Event	150th Convention of the Audio Engineering Society - online Duration: 25 May 2021 → 28 May 2021

Conference	150th Convention of the Audio Engineering Society
Period	25 May 2021 → 28 May 2021

Room Geometry Estimation from Higher-Order Ambisonics Signals using Convolutional Recurrent Neural Networks. / Poschadel, Nils Christian; Hupke, Robert Johannes; Preihs, Stephan et al.
2021. Paper presented at 150th Convention of the Audio Engineering Society .

Research output: Contribution to conference › Paper › Research › peer review

Poschadel, NC, Hupke, RJ, Preihs, S & Peissig, JK 2021, 'Room Geometry Estimation from Higher-Order Ambisonics Signals using Convolutional Recurrent Neural Networks', Paper presented at 150th Convention of the Audio Engineering Society , 25 May 2021 - 28 May 2021. <http://www.aes.org/e-lib/browse.cfm?elib=21075 >

Poschadel NC, Hupke RJ, Preihs S, Peissig JK. Room Geometry Estimation from Higher-Order Ambisonics Signals using Convolutional Recurrent Neural Networks. 2021. Paper presented at 150th Convention of the Audio Engineering Society .

Poschadel, Nils Christian ; Hupke, Robert Johannes ; Preihs, Stephan et al. / Room Geometry Estimation from Higher-Order Ambisonics Signals using Convolutional Recurrent Neural Networks. Paper presented at 150th Convention of the Audio Engineering Society .

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