Hearing Device Acoustic Parameter Customization
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Solution Overview
Problem
Users of hearing devices often face difficulties in hearing specific individuals, such as family members or colleagues, and understanding speech in noisy environments, despite wearing their hearing devices, highlighting a need for improved configuration systems and methods.
Innovation Solution
A method and system that involve receiving an audio sample associated with a target entity, calculating acoustic parameters, generating an audio stimulus based on these parameters, presenting the stimulus to the user, and adjusting the hearing device settings based on user feedback to optimize performance for better hearing of specific individuals or in specific environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional hearing device configuration procedures are used, then general hearing performance is improved, but specific speech recognition in noisy environments remains insufficient
Solution Approach 1:
The system performs preliminary analysis of audio samples from target entities and environments before actual use. Acoustic parameters such as spectral shape, temporal envelope, and spectro-temporal changes are pre-calculated and stored, allowing the hearing device to quickly adapt to specific conditions without requiring time-consuming on-site configuration.
Solution Approach 2:
The system changes physical parameters of the audio stimulus by manipulating acoustic characteristics including spectral shape, temporal envelope, and spectro-temporal changes. These parameter modifications enable the hearing device to optimize performance for specific target entities and environmental conditions, resolving the contradiction between general performance and specific adaptability.
2Reliability
If generic hearing device settings are used, then overall hearing assistance is provided, but difficulty in hearing specific individuals persists
Solution Approach 1:
The system applies local quality by analyzing and manipulating acoustic parameters specific to individual target entities. By calculating characteristics such as fundamental frequency, formant frequencies, and spectral shape from audio samples of specific individuals, the hearing device can be customized to reliably hear and understand particular people while maintaining overall hearing assistance.
3Measurement precision
If manual configuration procedures are used, then user feedback is incorporated, but configuration time and complexity increase
Solution Approach 1:
The system creates copies of audio samples from target entities and environments, then analyzes these copies to extract acoustic parameters. This copying approach allows the system to pre-process and store configuration data without requiring the user to be present during analysis, significantly reducing configuration time while maintaining high accuracy through automated parameter extraction from the copied audio data.
Data Source
AI summary
Methods and systems for customizing a hearing device. The disclosed methods involve receiving an audio sample associated with a target entity, calculating at least one acoustic parameter from the audio sample, generating an audio stimulus using the at least one calculated acoustic parameter, presenting the audio stimulus to a user, receiving a response to the audio stimulus, and adjusting the hearing device based on an optimal parameter.