Personalized HRTF Generation Using Reference Transfer Functions
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Generating personalized sound signal transfer functions, such as Head Related Transfer Functions (HRTFs), for individual users is time-consuming and costly, especially when performed in laboratory conditions.
Innovation Solution
A method involving determining a first sound signal transfer function in a laboratory setting and using it to generate subsequent functions based on a neural network model, allowing for personalized spatial audio processing and enhanced sound quality without extensive further measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If personalized HRTF measurements are performed in laboratory conditions for every user and direction, then measurement precision and personalization are improved, but time consumption and cost increase significantly
Solution Approach 1:
The patent applies preliminary action by pre-measuring HRTF data for a reference listener across multiple directions in a laboratory setting. These pre-acquired measurements are stored and later used as a foundation for generating personalized HRTFs for individual users through computational processing, avoiding the need to perform time-consuming laboratory measurements for each user and each direction.
Solution Approach 2:
The patent employs copying by creating personalized HRTF profiles for individual users based on copying and adapting reference HRTF measurements. Instead of measuring every user's HRTF from scratch, the system copies reference data and modifies it using user-specific information (such as head-related measurements or machine learning models) to generate accurate personalized transfer functions at reduced cost and time.
2Loss of information
If comprehensive HRTF data is collected for all directions in laboratory conditions, then data completeness is improved, but cost and resource requirements increase
Solution Approach 1:
The patent applies universality by creating a single reference HRTF measurement set that serves multiple purposes: it provides the foundation for generating personalized HRTFs for numerous different users, each potentially requiring data for multiple directions. This universal reference dataset replaces the need to conduct separate comprehensive measurements for every user, significantly reducing overall cost and resource requirements while maintaining data completeness through computational synthesis.
Data Source
AI summary
It is described a computer implemented method for generating a personalized sound signal transfer function, the method comprising: determining first data, wherein the first data represents a first sound signal transfer function, wherein the first sound signal transfer function is associated with a user's ear and with a first sound signal direction relative to the user's ear; determining, based on the first data, second data, wherein the second data represents a second sound signal transfer function, wherein the second sound signal transfer function is associated with the user's ear and with a second sound signal direction relative to the user's ear.