Genetic Algorithm Sleeping Aid Audio Spectrum Chain Generation
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Solution Overview
Problem
Existing sleeping aid audio technologies rely on manual creation, resulting in subjective emotion influence and limited effectiveness, making it challenging to generate audio scientifically and effectively.
Innovation Solution
A method using a genetic algorithm to process sleeping aid audio spectrums, selecting and processing reference audio spectrums with high sleeping aid values to generate a spectrum chain, and adapting based on user sleep state feedback for personalized customization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual creation method is used, then emotion expression is subjective and creative, but effectiveness is limited and reliability is low
Solution Approach 1:
The patent replaces the manual mechanical creation process with an automated computational system. The identification model automatically evaluates audio spectrums based on sleeping aid values, and the genetic algorithm automatically generates optimized audio chains, eliminating subjective human intervention while improving reliability and effectiveness.
Solution Approach 2:
The system performs self-evaluation and self-optimization through the identification model that automatically assesses sleeping aid values of audio spectrums. The genetic algorithm then uses these assessments to autonomously generate optimized audio chains without requiring external manual adjustment, enabling the system to serve itself.
2Reliability
If genetic algorithm is used to process audio spectrums, then effectiveness and reliability are improved, but computational complexity and processing time increase
Solution Approach 1:
The identification model performs preliminary evaluation of audio spectrums by calculating sleeping aid values before the genetic algorithm processing. This pre-assessment allows the genetic algorithm to focus computational resources on promising candidates, reducing overall processing time while maintaining effectiveness.
Solution Approach 2:
The system changes parameters dynamically during the genetic algorithm process by adjusting selection criteria based on sleeping aid values. The identification model continuously evaluates and re-ranks audio spectrum parameters, allowing the system to adapt processing focus and optimize time efficiency.
3Manufacturing precision
If reference audio spectrums are selected based on sleeping aid values, then quality of generated audio is improved, but measurement and evaluation complexity increase
Solution Approach 1:
The patent replaces subjective human evaluation of audio quality with an automated identification model that objectively measures sleeping aid values. This computational approach transforms the difficult measurement task into a systematic process based on quantifiable parameters, improving both quality consistency and measurement feasibility.
Data Source
AI summary
A method, an apparatus, a computer device and storage media for generating a sleeping aid audio are provided. The method for generating a sleeping aid audio includes: a plurality of sleeping aid audio spectrums are obtained; the plurality of sleeping aid audio spectrums are processed with a genetic algorithm, to obtain a sleeping aid audio spectrum chain; and the sleeping aid audio is generated according to the sleeping aid audio spectrum chain.