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

  1. Spectro-Temporal Interference Confounds Phase Encoding in Spatial Audio Foundation Models

    A new paper published on arXiv explores the limitations of current spatial audio foundation models, finding that they often rely on spectro-temporal interference rather than precise phase encoding for localization tasks. Researchers developed a psychoacoustic benchmark using the binaural masking level difference (BMLD) to test nine different audio models. While dedicated binaural spatial models showed comparable BMLD to analytical baselines, general-purpose binaural models demonstrated a reliance on interference textures, indicating a potential confounding factor in their performance metrics. AI