Environmental Noise Classification for Accurate Multimedia Volume Adjustment
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Solution Overview
Problem
Existing electronic equipment inaccurately adjusts audio and video parameters based on external noise, often misjudging noise scenarios, leading to unnecessary volume adjustments.
Innovation Solution
The equipment collects environmental audio information, performs noise detection to identify target noise scenarios, and processes multimedia data parameters only when the noise matches the target scenario, reducing mis-adjustments by considering volume and playback speed adjustments based on specific noise types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the electronic equipment automatically adjusts audio and video parameters based on external noise volume, then the adaptability to environmental noise is improved, but the measurement precision of noise scenario judgment deteriorates
Solution Approach 1:
The patent segments the noise judgment process into two independent parts: noise volume detection and noise scenario classification. The audio processing unit separately determines the volume of environmental noise and classifies the noise scenario type, allowing each function to be optimized independently. This segmentation resolves the contradiction by enabling high adaptability through volume-based adjustment while maintaining high measurement precision through dedicated scenario classification.
Solution Approach 2:
The patent introduces an audio processing unit as an intermediary component that acts as a bridge between the environmental noise and the parameter adjustment system. This intermediary performs both volume detection and scenario classification, providing accurate and comprehensive noise information to the parameter adjustment unit, thereby resolving the contradiction between adaptability and measurement precision.
2Speed
If the electronic equipment adjusts parameters based on any environmental noise, then the responsiveness to noise is improved, but the reliability of parameter adjustment deteriorates due to mis-adjustment in non-target scenarios
Solution Approach 1:
The patent applies preliminary action by performing noise scenario classification before executing parameter adjustments. The audio processing unit pre-analyzes the noise scenario type and determines whether adjustment is necessary, ensuring that parameter adjustments are only made when appropriate. This preliminary classification action resolves the contradiction by maintaining responsiveness while eliminating mis-adjustments in non-target scenarios.
Solution Approach 2:
The patent implements a feedback mechanism where the audio processing unit continuously monitors environmental noise, classifies scenarios, and provides feedback to the parameter adjustment unit. This closed-loop feedback system ensures that adjustments are made only when the noise scenario warrants them, resolving the contradiction between responsiveness and reliability by using feedback to gate the adjustment action.
Data Source
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AI summary
Methods, apparatuses, non-transitory computer-readable storage mediums, and computer program product are provided for information processing. The method may be applied to an electronic equipment. The electronic equipment may collect (11) environmental audio information when the electronic equipment plays multimedia data. The electronic equipment may also perform (12) noise detection on the environmental audio information to determine whether the environmental audio information represents a target noise scenario. The electronic equipment may also process (13) a parameter of the multimedia data played by the electronic equipment when the environmental audio information represents the target noise scenario. According to the disclosure, enables the improvement of automatically adjusting the volume of the electronic equipment based on the environmental noise to be more accurate.