Sound normalization via haptic feedback for inaudible frequency compensation
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Solution Overview
Problem
Current audio technologies fail to provide an immersive experience by not adequately accounting for individual user preferences, geographical, demographic, and consumption modalities, leading to suboptimal sound reproduction across different devices and environments.
Innovation Solution
A system that includes a memory component for storing media content, a network component for receiving and sharing sound profiles, and a processor to modify audio data based on user-specific parameters, inaudible frequency ranges, and haptic feedback, ensuring enhanced auditory experiences across various reproduction scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sound profiles are customized for individual users and environments, then auditory experience is improved, but device complexity increases
Solution Approach 1:
The sound profile system is segmented into multiple independent components: user-specific parameters, device-specific parameters, environment-specific parameters, and genre-specific parameters. Each component can be independently adjusted, stored, and transmitted, reducing the complexity of managing the entire system as a unified whole.
Solution Approach 2:
The system utilizes parameter changes by allowing dynamic adjustment of sound profile parameters based on detected conditions (user preferences, device characteristics, environment). Parameters such as equalization settings, bass enhancement, and spatial audio effects are modified in real-time to optimize auditory experience without requiring complete reconfiguration.
2Adaptability or versatility
If sound profiles are transmitted and shared across devices, then adaptability is improved, but loss of information increases
Solution Approach 1:
The system creates simplified copies of sound profiles that can be transmitted across devices. Instead of transmitting complete, complex configuration data, essential parameters are copied and adapted to the target device's capabilities, ensuring compatibility while minimizing information loss through selective parameter transmission.
Solution Approach 2:
The sound profile format is designed with universal compatibility, allowing the same profile structure to be used across different device types (headphones, speakers, audio interfaces). The profile contains both device-specific and generic parameters, enabling a single profile to function across multiple platforms with appropriate adaptation.
3Reliability
If frequency remapping is applied to compensate for inaudible ranges, then auditory experience is improved, but manufacturing precision requirements increase
Solution Approach 1:
The system replaces mechanical frequency compensation methods with digital signal processing and software-based frequency remapping. Instead of requiring precise mechanical alignment of haptic actuators to specific frequencies, the system uses algorithms to remap inaudible frequencies to audible ranges, eliminating the need for high manufacturing precision in hardware alignment.
Solution Approach 2:
The system dynamically changes frequency parameters through software control, allowing flexible adjustment of frequency remapping without being constrained by fixed hardware characteristics. This enables precise frequency compensation to be achieved through parameter adjustment rather than through precise manufacturing tolerances.
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
Enables personalized audio enhancements to be stored, shared, and applied across devices, compensating for inaudible frequencies and controlling haptic devices, thereby improving the auditory experience by tailoring sound profiles to individual users and environments.
Implementation Method 1
Sound normalization and frequency remapping using haptic feedback
Data Source
AI summary
Method and devices for processing audio signals based on sound profiles are provided. A sound profile can include data related to haptic movement of the audio data which is specific to a left ear or a right ear, demographic information, ethnicity information, age information, location information, social media information, intensity score of the audio data, previous usage information, or device information. A sound profile can be customized for individual user to include the inaudible frequency range at high frequency end and low frequency end. Audio data within the inaudible frequency range can be compensated by haptic movement corresponding to the inaudible frequency range. A sound profile can further include an audio frequency range and its lowest audible volume for a user. A sound profile can be provided to a user without any action from the user's part.