Electronic Device Frequency Division Sound Effect Processing
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Solution Overview
Problem
Electronic devices face challenges in applying sound effects to super-high-quality sound sources without losing high-frequency band signals due to limited capabilities such as computational power and memory, leading to inevitable signal loss during down-sampling.
Innovation Solution
The electronic device employs frequency division and reconstruction to apply sound effects, preserving the high-frequency band signals by determining a designated frequency band and multiplexing sound source data, allowing for the separation and synthesis of high and low-frequency bands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If down-sampling is applied to sound source data to match the capabilities of the electronic device and sound effect, then processing time and computational load are reduced, but high-frequency band signals are lost
Solution Approach 1:
The sound source data is segmented into multiple frequency bands (e.g., first frequency band, second frequency band, third frequency band) through frequency division. Different down-sampling rates are applied to different frequency bands, with higher bands using lower down-sampling rates to preserve high-frequency signals while lower bands use higher down-sampling rates to reduce processing load.
Solution Approach 2:
Different quality levels (down-sampling rates) are applied to different parts (frequency bands) of the sound source data based on their specific requirements. High-frequency bands maintain higher quality with lower down-sampling to preserve signal integrity, while low-frequency bands use higher down-sampling rates to reduce computational complexity.
2Device complexity
If down-sampling is applied to sound source data to match the capabilities of the electronic device, then computational power and memory requirements are reduced, but signal loss occurs
Solution Approach 1:
The sound source data is segmented into multiple frequency bands through frequency division. Different down-sampling rates are applied to different frequency bands, with higher bands using lower down-sampling rates to preserve high-frequency signals while lower bands use higher down-sampling rates to reduce processing load.
Solution Approach 2:
The down-sampling rate parameter is changed based on the frequency band. Different down-sampling rates (e.g., first down-sampling rate for first frequency band, second down-sampling rate for second frequency band) are applied to different parts of the sound source data to optimize both signal quality and processing requirements.
3Manufacturing precision
If sound effects are applied to super-high-quality sound sources, then audio quality is enhanced, but processing time and power consumption increase
Solution Approach 1:
The sound source data is segmented into multiple frequency bands through frequency division. Different down-sampling rates are applied to different frequency bands, with higher bands using lower down-sampling rates to preserve high-frequency signals while lower bands use higher down-sampling rates to reduce processing load.
Solution Approach 2:
The down-sampling rate parameter is changed based on the frequency band. Different down-sampling rates (e.g., first down-sampling rate for first frequency band, second down-sampling rate for second frequency band) are applied to different parts of the sound source data to optimize both signal quality and processing requirements.
4Manufacturing precision
If sound effects are applied to super-high-quality sound sources, then audio quality is enhanced, but power consumption increases
Solution Approach 1:
The sound source data is segmented into multiple frequency bands through frequency division. Different down-sampling rates are applied to different frequency bands, with higher bands using lower down-sampling rates to preserve high-frequency signals while lower bands use higher down-sampling rates to reduce processing load.
Solution Approach 2:
The down-sampling rate parameter is changed based on the frequency band. Different down-sampling rates (e.g., first down-sampling rate for first frequency band, second down-sampling rate for second frequency band) are applied to different parts of the sound source data to optimize both signal quality and processing requirements.
Data Source
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AI summary
Disclosed is a control method for an electronic device. An electronic device according to an embodiment comprises: at least one speaker; and a processor. The processor may be configured to: obtain sound source data; obtain first sound source data, corresponding to a first designated frequency band, from the sound source data by using a filter; generate second sound source data by applying sound effect to at least a portion of sound source data corresponding to a second designated frequency band among the sound source data; generate synthesized sound source data corresponding to the sound source data by synthesizing the first sound source data and the second sound source data; and output the synthesized sound source data through the at least one speaker. Other embodiments may also be possible.