Head-Related Filter Error Correction for Spatial Audio Continuity

The patent implements an iterative error correction process where the quality of HR filters is continuously evaluated and refined. The system processes HR filters through multiple iterations, detecting errors such as misalignment and non-HR reflections, and applying corrections based on quality metrics. This feedback loop progressively improves the reliability of spatial perception by eliminating measurement errors that cause spatial discontinuities and sync errors.

The patent applies error correction processing to HR filter datasets before they are used in binaural audio rendering. By pre-processing the HR filters to detect and correct measurement errors, misalignment issues, and non-HR reflections beforehand, the system ensures high-quality spatial audio output without experiencing spatial discontinuities or audio-video sync errors during actual rendering operations.

The patent divides the error correction process into distinct functional modules: quality evaluation module, error detection module, error classification module, and correction application module. Each module handles a specific aspect of the correction process, making the complex task more manageable and efficient. The segmentation allows parallel processing of different HR filters and enables optimized computation for each specific correction type.

The patent employs parameter-based error detection and correction methods, where quality metrics and error thresholds are adjusted based on the characteristics of the HR filter dataset. By dynamically changing parameters such as quality thresholds, correction intensity, and processing precision, the system optimizes the balance between rendering quality and computational complexity, adapting the processing level to the specific requirements of each HR filter.