HRTF Transfer Function Reconstruction via Reference Directivity Matching
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Solution Overview
Problem
Conventional methods for determining Head Related Transfer Functions (HRTF) require a large number of measurements, which is time-consuming and difficult to adjust, especially when using statistical learning techniques, leading to degradation in binaural rendering performance due to the unique morphology of each individual.
Innovation Solution
A method that involves measuring HRTF transfer functions for a reduced number of directions and reconstructing them using reference directivity functions, which are determined for a larger number of directions, allowing for spatial similarity evaluation and classification to minimize spatial shifts, resulting in a more efficient and accurate representation of HRTF transfer functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a large number of measurements are taken to determine HRTF transfer functions, then measurement precision is improved, but measurement time increases significantly
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing transfer functions for a comprehensive set of directions in an acoustic model before actual measurement. During measurement, the system only needs to identify which pre-calculated directions are relevant and retrieve their corresponding transfer functions, rather than measuring all directions from scratch. This significantly reduces measurement time while maintaining precision for the directions that are actually measured.
2Loss of time
If statistical learning techniques are used to reduce measurements, then measurement time is reduced, but adaptability to individual morphology deteriorates
Solution Approach 1:
The patent applies local quality by associating different transfer functions with different spatial directions and selecting only those relevant to the listener's specific morphology. Instead of using a generic statistical model for all directions, the system identifies and applies direction-specific transfer functions that match the individual's anatomical characteristics, thereby maintaining high adaptability while reducing the overall measurement burden.
Solution Approach 2:
The patent changes parameters by using direction-specific transfer functions instead of a single averaged statistical model. The system selects transfer functions based on directional relevance and individual morphological parameters, allowing the acoustic model to adapt to each listener's unique anatomy while requiring fewer measurements overall.
3Reliability
If conventional measurement methods are used, then reliability of HRTF determination is improved, but device complexity increases
Solution Approach 1:
The patent applies copying by using pre-calculated transfer functions from an acoustic model that replicate the acoustic behavior of the listener's morphology. Instead of requiring complex measurement equipment to capture all acoustic phenomena, the system copies relevant transfer functions from the pre-existing acoustic model for the specific directions being measured, thereby maintaining reliability while reducing device complexity.
Data Source
AI summary
The invention relates to a method for determining transfer functions of the HRTF type for an individual, that includes: measuring, for a first number of directions, the transfer functions of the HRTF type specific to the individual; matching the directivity functions associated with the measured functions of the HRTF type, with reference directivity functions associated with reference transfer functions of the HRTF type, the reference functions of the HRTF type being determined for a second number of directions higher that the first number of directions and reconstructing the measured directivity functions from the reference directivity functions.