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Brief

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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. HRIR-Former: Grid-Free Time-Domain Reconstruction of Head-Related Impulse Responses with a Spatially Encoded Transformer

    Researchers have developed HRIR-Former, a novel time-domain Transformer model designed to reconstruct Head-Related Impulse Responses (HRIRs) at arbitrary directions from sparse measurements. Unlike previous methods that often operate in the frequency domain or rely on minimum-phase assumptions, HRIR-Former reconstructs HRIRs directly in the time domain, avoiding potential degradation in temporal fidelity and spatial continuity. The model incorporates sinusoidal spatial features, a Conv1D refinement module, and auxiliary heads for interaural time and level differences, demonstrating improved performance on the SONICOM dataset compared to existing techniques. AI