Terminal Voice Quality Adjustment via Spectral Analysis
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Solution Overview
Problem
Current communication technologies require users to manually select and change call modes before and during calls, increasing operational inconvenience in improving voice quality.
Innovation Solution
A call method that analyzes the spectral components of voice signals in real-time to dynamically select frequency response channels with appropriate gain settings for low and high frequencies, ensuring balanced processing of high and low frequencies to enhance voice quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users manually select and change call modes before and during calls, then voice quality can be improved through different call parameter combinations, but operational convenience deteriorates due to increased user intervention requirements
Solution Approach 1:
The system automatically analyzes spectral components of voice signals and dynamically selects appropriate frequency response channels without requiring user intervention. The terminal self-adjusts call parameters based on real-time spectral analysis, eliminating the need for users to manually select call modes while maintaining optimal voice quality.
Solution Approach 2:
The system dynamically changes call parameters (frequency response channel selection, low frequency gain, high frequency gain) based on real-time spectral component analysis. By continuously monitoring and adjusting parameters according to the analyzed spectral characteristics, the system adapts to different call scenarios automatically, improving voice quality without user intervention.
2Reliability
If preset call scenario modes with different call parameter combinations are provided, then voice quality can be optimized for different call environments, but device complexity increases due to multiple modes and parameters
Solution Approach 1:
Instead of using static preset modes, the system employs dynamic real-time spectral component analysis to automatically determine the appropriate frequency response channel and call parameters. This dynamic adjustment based on actual voice signal characteristics eliminates the need for multiple predefined scenarios, reducing configuration complexity while maintaining voice quality optimization.
Solution Approach 2:
The system continuously monitors the spectral components of voice signals and uses this feedback to automatically select and adjust frequency response channels. This closed-loop feedback mechanism replaces the need for manual mode selection across different scenarios, simplifying device configuration while ensuring optimal voice quality through data-driven parameter adjustment.
Data Source
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AI summary
Embodiments of the present invention disclose a call method of a terminal and a terminal using the call method, relate to the field of communications technologies, and are invented for adjusting voice quality of a call in real time. The method includes: analyzing a spectral component of a voice signal during a call; and selecting a corresponding frequency response channel according to an analysis result of the spectral component of the voice signal. The present invention is mainly applied in the field of call services.