Audio Volume Prediction Using User and Scenario Characteristics
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Solution Overview
Problem
Existing audio playback systems require manual volume adjustment by users, which is cumbersome and reduces user experience due to the fixed and preset volume settings not aligning with individual preferences.
Innovation Solution
A volume adjustment method and apparatus that dynamically adjusts audio volume based on reference volumes, target audio characteristics, user group characteristics, and scenario information using pre-trained prediction models to automatically set the optimal playback volume.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual volume adjustment is required, then the audio playback system maintains simple structure and low computational overhead, but user experience deteriorates due to cumbersome operation and fixed volume settings
Solution Approach 1:
The system automatically adjusts audio volume by analyzing audio characteristics, user preferences, and environmental factors without requiring manual user intervention. The volume adjustment bar becomes unnecessary, and the system self-determines optimal playback volume based on pre-trained prediction models.
Solution Approach 2:
The manual mechanical interaction with the volume adjustment bar is replaced by an automated computational system that uses prediction models to determine optimal volume settings based on audio features, user profiles, and scenario characteristics.
2Adaptability or versatility
If fixed preset volume is used, then the playback system maintains simplicity and low processing requirements, but adaptability deteriorates as volume cannot align with individual user preferences or different audio types
Solution Approach 1:
The volume setting transitions from a static fixed value to a dynamic parameter that automatically adapts based on audio characteristics, user preferences, and environmental conditions. The system continuously adjusts volume settings to match different playback scenarios and user needs.
Solution Approach 2:
The system changes the volume parameter dynamically by inputting audio features, user group characteristics, and scenario information into prediction models to generate optimized volume settings tailored to each specific playback situation.
3Productivity
If manual volume adjustment bar is provided, then the system maintains simplicity and direct user control, but user experience worsens due to the need for repeated manual adjustments and time consumption
Solution Approach 1:
The system automatically determines and applies optimal volume settings without requiring user interaction, eliminating the time users would spend manually adjusting the volume bar and repeatedly testing different volume levels.
Solution Approach 2:
The system pre-trains prediction models using audio characteristics and user preferences to prepare optimized volume settings in advance, so that when playback occurs, the optimal volume is immediately applied without requiring real-time user adjustment.
Data Source
AI summary
A volume adjustment method, a device and a storage medium are provided. The method includes: determining a reference volume corresponding to a target audio to be played; inputting target audio characteristic information corresponding to the target audio, target user group characteristic information provided by a target user group, current scenario characteristic information and the reference volume to an adjustment information prediction model that is pre-trained, to predict volume adjustment information and obtain target volume adjustment information; determining a target volume corresponding to the target audio according to the target volume adjustment information and the reference volume; and performing volume adjustment on the target audio based on the target volume, to enable an adjusted target audio to be played at the target volume.