Personalized Audio Enhancement Using Hearing-Loss Mode Selection
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Solution Overview
Problem
Existing audio enhancement methods for hearing impairments are subjective and unstable, failing to provide personalized and effective sound adjustments for individuals with varying degrees of hearing loss.
Innovation Solution
An audio enhancement method that objectively categorizes hearing impairments through big data analysis of hearing test data, determining specific audio enhancement modes to adjust loudness, tone, and clarity, and selecting a target mode based on processed audio quality or user features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If subjective audio enhancement methods are used, then the audio can be adjusted to some extent, but the enhancement is unstable and not personalized
Solution Approach 1:
The system changes audio parameters (loudness, tone, timbre, clarity) based on objective hearing impairment categories derived from hearing test data. Different audio enhancement modes adjust specific parameters according to the user's hearing profile, providing stable and personalized enhancement results.
Solution Approach 2:
The patent replaces subjective manual adjustment with objective automated classification using big data analysis of hearing test data. The system automatically determines hearing impairment categories and selects appropriate audio enhancement modes, eliminating subjectivity and improving stability.
2Adaptability or versatility
If multiple audio enhancement modes are provided, then personalized enhancement can be achieved, but the system complexity increases
Solution Approach 1:
The audio enhancement system is segmented into multiple predefined modes corresponding to different hearing impairment categories. Each mode is optimized for specific hearing loss patterns, allowing the system to handle diversity through structured segmentation rather than complex unified processing.
Solution Approach 2:
The system uses a universal framework where a single audio enhancement apparatus can serve multiple functions by switching between different enhancement modes. The same hardware processes different audio profiles by applying mode-specific parameter adjustments, eliminating the need for separate devices for different hearing impairments.
3Ease of operation
If automated mode selection is implemented, then the ease of operation improves, but the measurement and detection difficulty increases
Solution Approach 1:
The system performs self-service by automatically analyzing hearing test data and selecting appropriate enhancement modes without requiring manual user input. The automated detection and classification processes handle the complexity internally, presenting a simple user interface while managing the measurement and detection challenges through programmed algorithms.
Data Source
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AI summary
The present disclosure provides an audio enhancement method, an audio enhancement apparatus and device, a computer-readable storage medium, and a computer program product. The audio enhancement method includes: receiving an input audio; processing at least a part of the input audio using at least one of a plurality of audio enhancement modes to generate at least one processed audio; determining a target audio enhancement mode from the plurality of audio enhancement modes based at least in part on the at least one processed audio; and processing the input audio using the target audio enhancement mode to generate an enhanced audio, and outputting the enhanced audio.