Hearing Aid Direction-of-Arrival Estimation Using Precomputed RTFs
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Solution Overview
Problem
Existing hearing aid systems face challenges in accurately estimating the direction-of-arrival (DOA) of target sound sources in noisy environments with varying acoustic conditions, reverberation, and complex noise scenarios, while maintaining memory and computational efficiency.
Innovation Solution
The proposed method employs a maximum likelihood framework using relative transfer functions (RTFs) measured for different frequencies and directions, stored in the hearing aid system, to estimate the DOA by evaluating RTF values in the likelihood function, with efficient computation using short-time Fourier transform and inverse discrete Fourier transform, and considers frequency-dependent and independent acoustic channel parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If maximum likelihood framework with relative transfer functions is used to estimate DOA, then measurement precision of sound source direction is improved, but computational complexity increases
Solution Approach 1:
The patent pre-calculates and stores relative transfer functions (RTFs) for multiple directions and frequencies in a database before actual DOA estimation. During operation, the system only needs to retrieve pre-computed RTFs and perform simple correlation operations, rather than calculating transfer functions in real-time. This preliminary preparation significantly reduces online computational complexity while maintaining high estimation accuracy through the maximum likelihood framework.
Solution Approach 2:
The patent divides the frequency spectrum into multiple frequency bins and processes each bin separately using short-time Fourier transform. The DOA estimation is performed independently for each frequency bin, allowing parallel processing and reducing the computational burden on any single processing stage. This segmentation enables efficient handling of wideband signals while maintaining precision across different frequencies.
2Measurement precision
If RTF database with multiple frequencies and directions is stored, then DOA estimation accuracy across different acoustic situations is improved, but memory requirements increase
Solution Approach 1:
The patent assumes sound sources are located in the frontal half-plane and optimizes the RTF database to cover only this region with higher resolution, while using coarser resolution or fewer frequency bins for other directions. This local quality optimization concentrates memory resources on the most important listening region (frontal hemisphere) where users typically focus attention, achieving high accuracy where needed while reducing overall storage requirements.
Solution Approach 2:
The system dynamically adjusts the resolution and density of RTF database entries based on the specific acoustic situation and frequency bin being processed. For frequencies and directions with similar acoustic characteristics, the system uses shared or interpolated RTF values, reducing redundant storage. The patent also employs parameter quantization to represent RTFs with sufficient but not excessive precision, balancing accuracy requirements with memory constraints.
Data Source
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AI summary
A hearing aid system comprising a pair of hearing devices, e.g. hearing aids, worn at the ears of a user receives a target signal generated by a target signal source and transmitted through an acoustic channel to microphones of the hearing aid system. Due to (potential) additive environmental noise, a noisy acoustic signal is received at the microphones of the hearing system. An essentially noise-free version of the target signal is simultaneously transmitted to the hearing devices of the hearing system via a wireless connection. Based on a sound propagation model of the acoustic propagation channel from the target sound source to the microphones of the hearing aid system, and on relative transfer functions representing direction-dependent filtering effects of the head and torso of the user in the form of direction-dependent acoustic transfer functions from a microphone on one side of the head, to a microphone on the other side of the head, a direction-of-arrival (DoA) of the target sound signal relative to the user is determined using a maximum likelihood approach.