Personalized Head-Related Transfer Function Selection for Audio Localization
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Solution Overview
Problem
Users experience in-head localization when listening to sound through headphones, where the sound feels like it is ringing inside their head, due to the difficulty in measuring individual head-related transfer functions for personalized sound localization.
Innovation Solution
A device and method that includes a measuring unit to obtain head-related impulse responses using a microphone, a feature amount extraction unit to extract frequency characteristics, and a characteristic selection unit to select a head-related transfer function from a database based on these features, allowing for personalized sound localization by convolving sound data with the selected transfer function.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a head-related transfer function of a dummy head or another user is used for sound localization, then the in-head localization phenomenon is reduced, but the measurement precision and personalization are insufficient
Solution Approach 1:
The patent creates a copy of the user's head-related impulse response by playing a measurement signal through a speaker and recording the sound reflected from the user's head and auricle using a microphone worn on the user's ear. This measured impulse response is then transformed into a head-related transfer function that accurately represents the user's individual characteristics without requiring complex measurement equipment or procedures.
Solution Approach 2:
The user themselves serves as the measurement medium by wearing the microphone on their own ear and having the measurement signal played through a speaker. The user's head and auricle naturally reflect the sound, and the system automatically processes this reflected sound to generate the personalized head-related transfer function, eliminating the need for external measurement equipment or assistance.
2Adaptability or versatility
If a head-related transfer function of another user is used, then the in-head localization phenomenon is reduced, but the adaptability to individual user characteristics is insufficient
Solution Approach 1:
Instead of using another user's head-related transfer function, the system creates an accurate copy of the specific user's own head-related impulse response by measuring the sound reflected from their head and auricle. This personalized copy ensures high adaptability to individual characteristics while keeping the measurement process simple and equipment-free.
Solution Approach 2:
The patent replaces complex mechanical measurement equipment with a simple electronic system consisting of a speaker and a microphone. The measurement process utilizes the user's own head and auricle as natural acoustic reflectors, substituting physical measurement apparatus with a streamlined electronic recording and processing system.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables effective sound localization outside the user's head, reducing in-head localization phenomena by using a head-related transfer function similar to the user's own, improving the listening experience by adjusting sound directions and amplitudes accordingly.
Implementation Method 1
obtain a head-related impulse response of user based on a sound signal which is collected by a microphone worn on an ear of the user in a state where a predetermined sound as a measurement signal is outputted from a speaker
Data Source
AI summary
A measuring unit obtains a head-related impulse response of a user based on a sound signal which is collected by a microphone worn on an ear of the user in a state where a predetermined sound as a measurement signal is outputted from a speaker. A feature amount extraction unit extracts a feature amount of a frequency characteristic corresponding to the head-related impulse response. A characteristic selection unit selects a head-related transfer function from a database, where head-related transfer functions of many people are respectively made in association with feature amounts of head-related transfer functions, based on the extracted feature amount.


