Audio Equalization Using Spectral Matching for Genre Adaptation
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Solution Overview
Problem
Current audio systems lack the ability to automatically adjust equalization settings based on the type of audio being broadcast, leading to suboptimal listening experiences when switching between different types of audio content.
Innovation Solution
A system and method that analyzes the frequency components and amplitudes of incoming audio, generates a spectral plot, compares it to predetermined plots, and applies corresponding equalizer settings to optimize audio output based on the detected genre or metadata.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual tone profile selection is provided, then users can choose settings for specific audio types, but the system requires continuous user intervention and cannot automatically adapt when audio type changes
Solution Approach 1:
The system performs self-service by automatically analyzing the incoming audio signal's spectral characteristics and selecting appropriate equalization settings without user intervention. The processor continuously monitors frequency components and amplitudes, compares them against stored profiles, and autonomously adjusts the equalizer to match the detected audio type, eliminating the need for manual tone selection while maintaining adaptability across different genres
Solution Approach 2:
The system changes equalization parameters (frequency gain/attenuation settings) based on detected spectral characteristics. By analyzing real-time frequency components and amplitudes, the system dynamically adjusts equalizer parameters to optimize sound output for the currently playing audio type, enabling automatic adaptation without requiring user input
2Ease of operation
If a single set of equalization settings is used, then the system is simple to operate, but the listening experience becomes suboptimal when switching between different audio genres
Solution Approach 1:
The system transitions from static equalization settings to dynamic adjustment. The equalization parameters are no longer fixed but continuously adapt based on the real-time spectral analysis of the audio signal. This dynamic approach allows the system to maintain optimal audio quality across different genres while keeping the user interface simple, as the adaptation happens automatically in the background
Solution Approach 2:
The system performs preliminary analysis of the audio signal's spectral characteristics before applying equalization adjustments. By pre-comparing the detected frequency components and amplitudes against stored audio type profiles, the system proactively selects the most appropriate equalization settings, ensuring optimal audio quality is achieved automatically without requiring user knowledge or intervention
Data Source
AI summary
Disclosed herein is a system and method for optimizing audio equalization settings based on the type of music being broadcast, comprising: receiving audio at a processing device; performing a frequency analysis of the received audio, to determine a plurality of frequency components and associated amplitudes of the frequency components of the received audio; generating a spectral plot of the received audio based on the performed frequency analysis of the received audio, wherein the spectral plot comprises an x axis that represents relative amplitude and a y axis that represents frequency components of the received audio; comparing the spectral plot of the received audio to each of a plurality of different predetermined spectral plots; matching the spectral plot of the received audio to at least one of a plurality of different predetermined spectral plots; retrieving a predetermined equalizer settings file that corresponds to the at least one of the matched predetermined spectral plots, wherein the predetermined equalizer settings file comprises a plurality of relative amplitude settings for each of a plurality of frequency bands; and applying the retrieved predetermined equalizer settings to an equalizer that processes the received audio according to the predetermined equalizer settings in the predetermined equalizer settings file.