Segment-Based Audio Equalization for Dynamic Sound Field Expansion
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Solution Overview
Problem
Existing audio file equalization methods require manual user intervention, which is cumbersome and often results in unsuitable sound field adjustments for different music segments, leading to unnatural sound experiences.
Innovation Solution
An automated method for setting an equalizer by dividing audio files into segments, extracting feature values, determining suitable equalizer information from a database, and interpolating parameter values for smooth transitions between segments to generate an equalizer sequence for optimal sound reproduction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual equalizer setting is used, then user can adjust equalizer parameters, but user manipulation is required which is troublesome and time-consuming
Solution Approach 1:
The system automatically extracts audio feature values from the audio file and determines appropriate equalizer settings without user intervention. The equalizer setting determination unit autonomously selects settings based on extracted features such as tempo, genre, and instrumentation, eliminating the need for manual user adjustment while maintaining suitable sound quality for different music segments.
Solution Approach 2:
The system pre-extracts audio feature values from the entire audio file before reproduction begins. By analyzing the audio content in advance and determining equalizer settings beforehand, the system prepares optimal equalization parameters that will be applied during playback, saving user time and ensuring appropriate settings are ready before listening starts.
2Ease of operation
If pre-set equalizer settings are used, then user manipulation is reduced, but equalizer settings may not be suitable for all segments of the audio file
Solution Approach 1:
The system divides the audio file into multiple segments and extracts feature values for each segment independently. By analyzing temporal variations in audio characteristics across different segments, the system can determine different equalizer settings for each segment, ensuring that the equalization is appropriately adapted to the specific characteristics of each portion of the music rather than applying a single preset to the entire file.
Solution Approach 2:
The system dynamically adjusts equalizer settings based on the extracted audio feature values of each segment. Rather than using static pre-set equalizer settings for the entire audio file, the equalizer setting determination unit varies the settings in response to changes in audio characteristics across segments, enabling the equalization to adapt dynamically to different music styles, tempos, and instrumental compositions throughout the track.
3Extent of automation
If genre-based equalizer setting is used, then automation is improved, but segments with unsuitable equalizer settings may still exist
Solution Approach 1:
The system determines equalizer settings for each individual segment based on its specific extracted audio feature values rather than applying a single genre-based setting to the entire audio file. By analyzing local characteristics of each segment and determining appropriate equalizer settings specifically for that segment, the system ensures that each portion of the music receives optimized equalization tailored to its unique characteristics, improving precision over broad genre-based approaches.
Data Source
AI summary
A method of setting an equalizer so as to enlarge a sound field in reproducing an audio file and a method of reproducing an audio file thereby, includes: dividing an input audio file into segments with a predetermined time length; extracting an audio feature value for each segment; determining equalizer information for reproducing each segment by the use of the extracted feature value; and determining an equalizer sequence for the audio file by the use of the determined equalizer information of each segment. Since the equalizer setting information can be automatically changed without user manipulation, the user can listen to an audio file of which the sound field is dynamically enlarged.