HRTF Dataset Modification via Spectral Averaging
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing head-related transfer function (HRTF) systems face challenges in providing accurate sound localization for immersive audio, as they are not sufficient for individual listeners and often require extensive and costly measurement processes, leading to unsatisfactory audio reproduction due to variations in listener anatomy and environmental factors.
Innovation Solution
A method to modify HRTF datasets by averaging and filtering the spectral responses of surrounding HRTFs to reduce timbral changes and improve audio localization, allowing for the creation of personalized or group-compatible HRTFs for immersive audio applications, particularly in virtual reality environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If individual HRTF measurements are performed for each listener, then audio localization accuracy is improved, but measurement time and cost increase significantly
Solution Approach 1:
The patent combines HRTF measurements from multiple listeners into a single averaged HRTF profile. By merging the acoustic response data from multiple individuals, the system creates a generalized transfer function that represents the average human auditory response, thereby achieving good localization accuracy without requiring individual measurements for each user.
Solution Approach 2:
The patent develops a universal HRTF measurement method that can be applied to any listener regardless of individual anatomical variations. The generalized HRTF profile created through averaging serves multiple listeners simultaneously, making the measurement process universally applicable while reducing the need for individualized measurements.
2Measurement precision
If HRTF measurements are performed in controlled environments, then measurement accuracy is improved, but equipment requirements and cost increase
Solution Approach 1:
The patent creates a simplified copy or representation of the complex acoustic field through the averaged HRTF profile. Instead of requiring complex anechoic chambers and specialized equipment, the system uses the measured acoustic response in ordinary rooms and processes it through the averaging method to obtain accurate HRTF data, effectively copying the essential acoustic characteristics without needing the full complexity of controlled measurement environments.
3Ease of operation
If HRTFs are measured in ordinary rooms, then ease of measurement is improved, but measurement accuracy deteriorates due to environmental distortions
Solution Approach 1:
The patent converts the harmful effect of room reflections and environmental distortions into a beneficial averaging process. By measuring in ordinary rooms with reflections and then averaging the results across multiple listeners, the system uses the environmental distortions as part of the measurement process, and the averaging operation eliminates the harmful variations, ultimately improving accuracy while maintaining ease of measurement.
Data Source
Figure 1~2
Figure 3~4
Figure 5
AI summary
A head-related transfer function, HRTF, dataset modification system, the system comprising an HRTF identifying unit operable to identify a first HRTF from an HRTF dataset, a filter generating unit operable to generate a filter in dependence upon the first HRTF, and an HRTF modification unit operable to modify the first HRTF by applying the generated filter to generate an output HRTF, wherein the generating comprises the steps of: identifying a spectral response of the first HRTF, identifying a plurality of second HRTFs within the HRTF dataset, each within a predetermined distance of the first HRTF, and a spectral response associated with each of the second HRTFs, generating an average of each of the identified spectral responses of the first and second HRTFs, and generating a filter using the inverse of this average.