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    <abstract>Recently, binaural audio synthesis (BAS) has emerged as a promising research field for its applications in augmented and virtual realities. Binaural audio helps ususers orient themselves and establish immersion by providing the brain with interaural time differences reflecting spatial information. However, existing BAS methods are limited in terms of phase estimation, which is crucial for spatial hearing. In this paper, we propose the DopplerBAS method to explicitly address the Doppler effect of the moving sound source. Specifically, we calculate the radial relative velocity of the moving speaker in spherical coordinates, which further guides the synthesis of binaural audio. This simple method introduces no additional hyper-parameters and does not modify the loss functions, and is plug-and-play: it scales well to different types of backbones. DopperBAS distinctly improves the representative WarpNet and BinauralGrad backbones in the phase error metric and reaches a new state of the art (SOTA): 0.780 (versus the current SOTA 0.807). Experiments and ablation studies demonstrate the effectiveness of our method.</abstract>
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%0 Conference Proceedings
%T DopplerBAS: Binaural Audio Synthesis Addressing Doppler Effect
%A Liu, Jinglin
%A Ye, Zhenhui
%A Chen, Qian
%A Zheng, Siqi
%A Wang, Wen
%A Qinglin, Zhang
%A Zhao, Zhou
%Y Rogers, Anna
%Y Boyd-Graber, Jordan
%Y Okazaki, Naoaki
%S Findings of the Association for Computational Linguistics: ACL 2023
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F liu-etal-2023-dopplerbas
%X Recently, binaural audio synthesis (BAS) has emerged as a promising research field for its applications in augmented and virtual realities. Binaural audio helps ususers orient themselves and establish immersion by providing the brain with interaural time differences reflecting spatial information. However, existing BAS methods are limited in terms of phase estimation, which is crucial for spatial hearing. In this paper, we propose the DopplerBAS method to explicitly address the Doppler effect of the moving sound source. Specifically, we calculate the radial relative velocity of the moving speaker in spherical coordinates, which further guides the synthesis of binaural audio. This simple method introduces no additional hyper-parameters and does not modify the loss functions, and is plug-and-play: it scales well to different types of backbones. DopperBAS distinctly improves the representative WarpNet and BinauralGrad backbones in the phase error metric and reaches a new state of the art (SOTA): 0.780 (versus the current SOTA 0.807). Experiments and ablation studies demonstrate the effectiveness of our method.
%R 10.18653/v1/2023.findings-acl.753
%U https://aclanthology.org/2023.findings-acl.753
%U https://doi.org/10.18653/v1/2023.findings-acl.753
%P 11905-11912

Markdown (Informal)

[DopplerBAS: Binaural Audio Synthesis Addressing Doppler Effect](https://aclanthology.org/2023.findings-acl.753) (Liu et al., Findings 2023)

• DopplerBAS: Binaural Audio Synthesis Addressing Doppler Effect (Liu et al., Findings 2023)

ACL

• Jinglin Liu, Zhenhui Ye, Qian Chen, Siqi Zheng, Wen Wang, Zhang Qinglin, and Zhou Zhao. 2023. DopplerBAS: Binaural Audio Synthesis Addressing Doppler Effect. In Findings of the Association for Computational Linguistics: ACL 2023, pages 11905–11912, Toronto, Canada. Association for Computational Linguistics.