Terminal Volume Control Using Sound Composition Scene Detection
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Solution Overview
Problem
Existing volume adjustment methods for user terminals, such as mobile phones, fail to accurately match the ring tone and earpiece volumes to the user's current scenario due to inaccurate environmental sound analysis, often mistaking human sounds as noise, leading to inappropriate volume settings.
Innovation Solution
A method and apparatus that collect and analyze sound signals to determine the composition of sounds, including blank, human, and noise types, to accurately determine the scene mode and adjust the volume accordingly, using volume adjustment coefficients specific to each mode, and dynamically adjust earpiece volume based on real-time microphone input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If volume is adjusted according to decibels of environment sound only, then volume adjustment is simple, but accuracy of volume adjustment is low
Solution Approach 1:
The patent segments the environment sound into different sound types (human sound, noise, music, etc.) and analyzes their proportions. Instead of treating environment sound as a single decibel value, the system divides it into components and evaluates each type's proportion to determine the appropriate scene mode, thereby improving accuracy while maintaining operational simplicity.
Solution Approach 2:
The patent changes the parameter basis for volume adjustment from a single decibel value to a multi-dimensional parameter set including sound type proportions, human sound detection results, and scene mode classifications. This parameter transformation enables more accurate scene recognition and corresponding volume adjustments.
2Extent of automation
If environment sound is extracted using sound detecting module, then volume adjustment is automated, but human sound may be mistaken as noise
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors environment sound, analyzes sound type proportions, and adjusts volume settings accordingly. The feedback loop includes detecting human sounds, identifying scene modes, and refining volume adjustments based on the analyzed composition information, thereby improving reliability while maintaining automation.
Solution Approach 2:
The patent introduces an intermediary analysis layer between sound detection and volume adjustment. The sound analyzing unit acts as a mediator that processes raw sound signals, identifies sound types and their proportions, and provides composition information to the scene mode determining unit, preventing misclassification of human sounds as noise.
3Ease of operation
If simple self-sensing scene mode is integrated, then ease of use is improved, but accuracy of scene determination is low
Solution Approach 1:
The patent implements dynamic scene mode determination that adapts to changing environment sounds in real-time. The system continuously analyzes sound composition, detects changes in sound type proportions, and dynamically adjusts scene mode classifications, enabling accurate scene determination while maintaining ease of use through automatic adaptation.
Solution Approach 2:
The patent uses a composite approach by combining multiple analysis dimensions (sound type proportions, human sound detection, decibel levels) to determine scene modes. This composite determination method integrates various sound characteristics to achieve more accurate scene recognition compared to simple single-parameter sensing.
Data Source
AI summary
A volume adjustment method includes performing analysis on the collected sound signal surrounding a user terminal to obtain composition information, where the composition information includes sound types included in the sound signal and proportions of sounds of the various types, and the sound types include blank sound, human sound, and noise, determining a current scene mode of the user terminal according to the composition information, and adjusting volume of the user terminal according to the determined scene mode.