User Terminal Volume Adjustment via Sound Composition Analysis
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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 incorrect environmental sound analysis, often mistaking human sounds as noise.
Innovation Solution
A method and apparatus that collect and analyze sound signals to determine the composition of sounds (blank, human, and noise) and adjust volumes based on scene modes, using mel-frequency cepstral coefficients to differentiate human sounds and calculate volume adjustment coefficients for precise volume matching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If volume is adjusted according to decibels of environment sound extracted by sound detecting module, then volume adjustment is automated, but accuracy of volume adjustment deteriorates because environment sound cannot accurately reflect user's actual situation
Solution Approach 1:
The patent segments the environment sound into different sound types (human sound, noise, music, etc.) and analyzes their respective proportions. Instead of treating environment sound as a single decibel value, it divides the sound signal into multiple components and evaluates each separately to determine the appropriate volume adjustment, thereby improving accuracy while maintaining automation.
Solution Approach 2:
The patent changes the parameter used for volume adjustment from simple decibel level to a composite parameter that includes sound type classification and proportion analysis. By transforming the environment sound assessment from a single-dimensional decibel measurement to a multi-dimensional analysis including sound type distribution, it achieves more accurate volume adjustment.
2Productivity
If environment sound is used to determine volume, then volume adjustment is simple and fast, but reliability deteriorates because human sounds may be mistaken for noise
Solution Approach 1:
The patent segments the sound analysis process into distinct stages: first identifying sound types (human sound, noise, music), then calculating their proportions, and finally determining scene mode based on this detailed breakdown. This segmentation prevents misclassification by ensuring human sounds are identified before noise assessment, maintaining both speed and reliability.
Solution Approach 2:
The patent implements a feedback mechanism where the system continuously monitors sound signals, identifies sound types, and adjusts volume based on the analyzed composition. The feedback loop ensures that when human sounds are detected, the system responds appropriately by preventing noise-mistaken-for-human-sound errors, thereby improving reliability while maintaining rapid response.
Data Source
AI summary
A volume adjustment method and apparatus, and a terminal is presented. Perform 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; determine a current scene mode of the user terminal according to the composition information; and adjust volume of the user terminal according to the determined scene mode, thereby significantly reducing occurrence of a case, caused by mistaken determining of the scenario, in which play volume adjustment does not conform to the scenario, and enhancing user experience.