Scenario-Based Sound Playback Tuning for Changing Listening Conditions
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Solution Overview
Problem
Current sound reproduction devices have limited options for adjusting sound settings, requiring users to manually adapt settings to different hearing situations, which can be inconvenient and unsafe, especially in dynamic environments like cars, and do not allow for permanent customization for individuals with hearing impairments.
Innovation Solution
A sound reproduction device with a signal processing chain, simulation scenario facility, user interface, signal modifier, and memory that allows users to set and store playback parameter settings for various hearing scenarios, enabling simulation of listening conditions to optimize sound preferences independently of the current situation and adapt settings automatically based on detected acoustic conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users manually adjust sound settings for different hearing situations, then sound preferences can be adapted to individual needs, but this requires continuous manual intervention which is inconvenient and unsafe in dynamic environments
Solution Approach 1:
The system performs preliminary actions by pre-storing multiple playback parameter settings (volume, bass, treble, loudness) corresponding to different hearing scenarios (e.g., driving, conversation, music) in a database. When a scenario is detected, the pre-stored settings are automatically retrieved and applied without requiring manual adjustment at that moment.
Solution Approach 2:
The system continuously monitors acoustic environment parameters (noise level, frequency spectrum, reverberation) and uses this feedback to automatically select and adjust playback parameters. The detection unit measures current acoustic conditions, compares them with stored scenario profiles, and dynamically adjusts sound settings to match the detected hearing situation.
2Extent of automation
If sound settings are automatically adjusted based on driving situation, then adaptation to changing acoustic environments is achieved, but the system requires complex interfaces and multiple sensors to detect acoustic conditions
Solution Approach 1:
The system uses a universal acoustic detection approach that can identify multiple different hearing scenarios (driving, conversation, music, noise) using the same detection unit and parameter measurement capabilities. The single detection system measures noise level, frequency spectrum, and reverberation characteristics that are common to all scenarios, making the complex detection infrastructure reusable across diverse applications.
Solution Approach 2:
The system achieves automatic adaptation by changing playback parameters (volume, bass, treble, loudness) based on detected acoustic conditions. Instead of adding complex hardware for each scenario, the system dynamically adjusts these parameters according to the measured acoustic environment, allowing flexible automation through software-based parameter modification.
3Reliability
If playback parameters are adjusted to compensate for background noise, then useful signal perception is improved, but the adjustment must be made while the user is already in the noisy environment which reduces safety
Solution Approach 1:
The system performs preliminary measurements and stores optimal playback parameter settings for various hearing scenarios before the user needs to adjust them in real-time. Acoustic scenarios are pre-defined and stored in the database, allowing the system to quickly retrieve and apply appropriate settings without requiring the user to manually adjust parameters while driving or in other dynamic environments.
Solution Approach 2:
The system provides self-service by automatically detecting the current acoustic environment and adjusting playback parameters without user intervention. The detection unit continuously monitors acoustic conditions, the control unit automatically selects the appropriate scenario profile, and the playback parameters are adjusted autonomously, freeing the user from the need to manually configure settings while operating in potentially hazardous environments.
Data Source
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AI summary
An audio playback device (100) comprises a signal processing chain (110), a simulation scenario unit (120), a user interface (130), a signal modifier (140), and a memory (150). The signal processing chain (110) prepares an acoustic signal for playback to a listener. The simulation scenario unit (120) provides listening scenario information for a simulated listening scenario, whereby the simulated listening scenario influences the listener's perception of the playback of the signal and/or defines a signal type. The user interface (130) receives playback parameter settings from a user, reflecting the listener's individual preference in light of the simulated listening scenario. The signal modifier (140) receives the playback parameter settings and modifies the playback of the signal according to these settings.The playback parameter settings and the listening scenario information are stored in memory (150) in relation to each other. This allows the user to set playback parameters for different listening situations according to individual preferences, regardless of whether the respective situation is currently present. Further aspects concern a method for teaching user-defined and listening scenario-dependent playback parameter settings to a sound reproduction device (100) and a corresponding computer program.