Personalized Audio Signal Processing for Hearing-Based Sound Tuning
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Solution Overview
Problem
Current audio systems fail to provide optimal sound quality for diverse hearing profiles, leading to suboptimal sound perception across users, particularly noticeable in music and speech content.
Innovation Solution
The technology personalizes audio signal processing by determining users' hearing abilities through demographic information, hearing test results, or musical preferences, using algorithms like multiband compression to adjust parameters such as dynamic range and gain, ensuring an enhanced hearing experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a generic or default audio signal is used, then device complexity is reduced and ease of operation is improved, but sound quality and hearing experience deteriorate for users with diverse hearing profiles
Solution Approach 1:
The patent applies parameter changes by adjusting audio signal parameters (equalization filters, dynamic range compression, spatial rendering) based on user-specific hearing profile parameters. The system transforms a generic audio signal into a personalized one by modifying frequency response, dynamic range, and spatial characteristics according to individually measured hearing thresholds and preferences, thereby resolving the contradiction between ease of operation and sound quality.
Solution Approach 2:
The patent implements preliminary action by conducting hearing assessments and determining user profiles before actual audio consumption. The system performs hearing threshold measurements, preference surveys, and profile generation in advance, storing these parameters for later application. This preliminary personalization setup enables automatic adaptation of audio signals without requiring user intervention during operation, thus maintaining ease of use while achieving high sound quality.
2Manufacturing precision
If personalized audio processing is implemented, then sound quality and speech intelligibility are improved, but device complexity increases
Solution Approach 1:
The patent applies universality by implementing a multi-functional audio processing system that handles hearing assessment, profile generation, signal processing, and adaptive rendering through a single integrated platform. The hearing assessment module serves multiple purposes: it measures thresholds, determines preferences, and generates profiles that are reused across different audio content types. This universal approach consolidates complexity into a unified system rather than requiring separate processing chains for different functions.
Solution Approach 2:
The patent uses copying by creating a digital representation (copy) of the user's hearing profile from physical hearing measurements. The system captures actual hearing threshold data and preferences, then creates a simplified digital model that can be stored and repeatedly applied to multiple audio signals. This copying approach allows the complex hearing assessment to be performed once, with the resulting profile model being efficiently reused across numerous audio processing operations, thereby reducing overall system complexity.
3Manufacturing precision
If hearing assessments and personalized processing are conducted, then speech intelligibility and hearing experience are enhanced, but loss of time occurs during setup and processing
Solution Approach 1:
The patent applies preliminary action by completing hearing assessments and profile generation before actual audio consumption begins. The system performs hearing threshold measurements, preference surveys, and profile creation in advance, storing these results for immediate application during audio playback. This upfront personalization eliminates the need for real-time adjustments during operation, reducing time loss during actual use while maintaining high speech intelligibility through pre-configured processing parameters.
Solution Approach 2:
The patent implements self-service by enabling users to complete hearing assessments and preference surveys at their own pace without requiring professional audiologist intervention. The system provides automated guidance through the assessment process, allows users to input their own preference data, and automatically generates hearing profiles based on their responses. This self-service approach reduces the time investment required compared to traditional clinical assessments while maintaining the quality of personalization.
Data Source
AI summary
Disclosed are systems and methods for audio processing and sound personalization signal processing. Information suitable to derive an indication of a user's hearing ability is received, and a representative indication of hearing ability is determined for the user. A set of audio processing parameters are determined for the representative indication of hearing ability and a sound personalization signal processing algorithm is configured based on the set of audio processing parameters. An audio signal is received on an entertainment system and is processed using the configured sound personalization signal processing algorithm. The processed audio signal is then outputted from the entertainment system.


