Hearing Device User Identification with Voice and Acoustic Transfer Functions
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Solution Overview
Problem
Existing hearing devices face challenges in safely and efficiently identifying a particular user for secure access to devices or services, particularly when using voice interfaces, due to the computational complexity of accurately recognizing user voice characteristics.
Innovation Solution
A hearing device configured to provide a user identification signal based on a combination of voice characteristics and acoustic transfer functions, utilizing microphones and vibration sensors to ensure secure user authentication through a biometric identification process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If voice characteristics alone are used for user identification, then the identification process is simple and fast, but the security and accuracy are insufficient
Solution Approach 1:
The patent combines multiple identification parameters (voice characteristics, acoustic transfer functions, and other biometric data) into a unified identification system. The processor integrates these different data sources to generate a comprehensive user identification signal, thereby improving reliability without requiring a completely separate system for each parameter.
Solution Approach 2:
The hearing device's microphone and processor serve multiple functions: they capture voice characteristics for identification, measure acoustic transfer functions for identification, and process auditory information for hearing assistance. This multi-functionality allows the same hardware to support both the enhanced identification system and standard hearing device operations.
2Reliability
If multiple parameters are combined for user identification, then the security and accuracy improve, but the computational complexity increases
Solution Approach 1:
The hearing device performs preliminary measurements of acoustic transfer functions during normal operation before they are needed for identification. These pre-measured parameters are stored and readily available when identification is required, reducing the computational burden and energy consumption during the actual identification process.
Solution Approach 2:
The identification system utilizes data that the hearing device already collects and processes during its normal operation for hearing assistance. The same microphones and processors used for auditory processing also gather voice characteristics and acoustic transfer functions, eliminating the need for separate dedicated hardware and reducing overall system energy requirements.
3Ease of operation
If voice interface is used for hearing devices, then the ease of use improves, but the ability to identify the particular user becomes more challenging
Solution Approach 1:
The system continuously monitors acoustic transfer functions and voice characteristics during normal operation, providing feedback that helps refine the identification model. This ongoing feedback mechanism allows the device to maintain accurate user identification while continuing to provide seamless voice interface operations without requiring explicit user input for identification.
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
Enhances user identification accuracy and security by reliably distinguishing the intended user, preventing misuse, and enabling secure access to devices or services.
Implementation Method 1
a microphone for converting a sound in an environment of the hearing device to an electric input signal
Implementation Method 2
The hearing system, e.g. the hearing device, may comprise a vibration sensor, e.g. an accelerometer, for sensing bone vibration in the user's scull
Data Source
AI summary
A hearing system comprises a hearing device, e.g., a hearing aid, comprising at least one microphone for converting a sound in the environment to an electric input signal. The hearing system comprises a processor comprising a user identification unit comprising a data-driven algorithm configured to provide a user identification signal indicating whether or not, or with what probability, the person currently wearing the hearing device is a particular user in dependence of a time segment of said particular user's voice and said at least one electric input signal.


