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FN-SSL: Full-Band and Narrow-Band Fusion for Sound Source Localization

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arxiv 2305.19610 v1 pith:E6HB24YT submitted 2023-05-31 eess.AS

Yabo Wang , Bing Yang , Xiaofei Li This is my paper · ORCID
classification eess.AS
keywords full-bandnarrow-banddirect-pathdp-ipdfusionlocalizationnetworksound
verification ladder T0 review T1 audit T2 compute T3 formal
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Extracting direct-path spatial features is critical for sound source localization in adverse acoustic environments. This paper proposes a full-band and narrow-band fusion network for estimating direct-path inter-channel phase difference (DP-IPD) from microphone signals. The alternating full-band and narrow-band layers are responsible for learning the full-band correlation and narrow-band extraction of DP-IPD, respectively. Experiments show that the proposed network noticeably outperforms other advanced methods on both simulated and real-world data.

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Cited by 1 Pith paper

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  1. Efficient and Microphone-Fault-Tolerant 3D Sound Source Localization

    cs.SD 2025-05 reject novelty 5.0 of 10

    A masked-autoencoder SSL model with sparse cross-attention and pretrained audio embeddings reports the best localization error on LuViRA music3 and speech3 while also estimating faulty microphone positions.

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