AI Equalizer Control for Mobile Boombox Surface Acoustics
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Solution Overview
Problem
Existing audio output devices struggle to produce optimal sound quality regardless of the medium, particularly when implementing a boombox function, as the sound output through speakers can vary significantly based on the vibrating medium, making it difficult to predict and adjust for optimal audio performance.
Innovation Solution
A method for controlling an equalizer using an artificial neural network-based learning model that infers information related to optimal audio output by analyzing sounds produced through a speaker, a vibrating case, and a resting surface, adjusting parameters through reinforcement learning to optimize sound quality, and updates learning model parameters based on the type of medium contacted by the mobile terminal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If equalizer settings are adjusted based on preset information, then audio output can be controlled, but optimal sound quality cannot be achieved across different vibrating mediums
Solution Approach 1:
The system captures audio output through a microphone, analyzes the actual sound characteristics, and uses this feedback to dynamically adjust equalizer settings. This closed-loop feedback mechanism enables the system to adapt to different vibrating mediums (speaker, case, resting surface) and achieve optimal sound quality for each medium by continuously monitoring and adjusting based on real-time audio characteristics
Solution Approach 2:
The system changes equalizer parameters (frequency response, gain settings) based on the identified vibrating medium and captured audio characteristics. By dynamically adjusting these parameters according to the specific medium being used, the system achieves optimal sound quality across different mediums rather than relying on fixed preset settings
2Power
If boombox function is implemented using vibrating mediums, then sound output is enhanced, but predictability of audio performance deteriorates
Solution Approach 1:
The system captures the actual audio output produced by the boombox function through a microphone, analyzes the sound characteristics including frequency response and amplitude, and uses this feedback to adjust equalizer settings. This enables accurate prediction and control of audio performance across different vibrating mediums by basing adjustments on measured actual output rather than theoretical models
Solution Approach 2:
The system replaces mechanical trial-and-adjustment methods with an automated audio analysis and control system. By using a microphone to capture and analyze audio characteristics, and an processor to automatically adjust equalizer settings based on this analysis, the system achieves precise control over audio performance without requiring manual intervention or complex mechanical adjustments
3Device complexity
If equalizer control is manual or preset-based, then device complexity is low, but adaptability to different conditions is limited
Solution Approach 1:
The system automatically identifies the vibrating medium, captures audio characteristics, analyzes the sound output, and adjusts equalizer settings without user intervention. This self-service approach maintains simple user interaction while achieving sophisticated medium-specific optimization through automated detection and adjustment mechanisms
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
This approach enables the output of optimal sound quality regardless of the medium, improving sound quality by adjusting equalizer settings dynamically based on real-time feedback from the audio output and medium characteristics, effectively addressing the variability in sound output across different surfaces.
Implementation Method 1
a first sub-sound output through a speaker
Implementation Method 2
a second sub-sound output from a case that is vibrated by the first sub-sound
Implementation Method 3
a third sub-sound output from a resting surface that comes in contact with the case and is vibrated by the vibration of the case
Data Source
AI summary
A method for controlling a mobile terminal, the method including generating a first sound based on first information related to audio output; generating second information related to the audio output based on the first information and features of the first sound; and adjusting a volume or a frequency of a second sound based on the second information and outputting the second sound with adjusted volume or adjusted frequency, in which the first sound comprises a first sub-sound output through a speaker, a second sub-sound output from a case of the mobile terminal that is vibrated by the first sub-sound, and a third sub-sound output by a resting surface that comes in contact with the case of the mobile terminal and is vibrated by vibration of the case of the mobile terminal.