Real-Time Audio Classification and Continuous Parameter Adjustment
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Solution Overview
Problem
Traditional audio processing systems require manual preset selection and discrete parameter adjustments, which are inconvenient and lead to audible artifacts when transitioning between different audio content types, such as music and speech.
Innovation Solution
An audio processing apparatus that automatically configures audio improving devices by classifying audio content in real-time using an audio classifier and adjusting parameters continuously based on confidence values, smoothing transitions to maintain audio quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual preset selection is used to differentiate audio content types, then audio processing algorithms can be optimized for specific content, but user convenience deteriorates and artifact transitions occur between different content types
Solution Approach 1:
The system automatically classifies audio content and adjusts processing parameters without user intervention. The audio classifier continuously analyzes the input signal and determines content type (speech, music, game, etc.), then the controller automatically selects appropriate processing algorithms and parameters, eliminating the need for manual preset selection while maintaining optimized processing quality
Solution Approach 2:
The system dynamically adjusts processing parameters based on real-time audio content classification. Instead of static presets, the controller continuously adapts the audio processing algorithms and parameters according to the currently detected content type, enabling seamless transitions between different audio content without audible artifacts
2Adaptability or versatility
If discrete parameter adjustments are used in traditional equalizers, then specific audio presets can be applied, but continuous parameter tuning is lost and transition artifacts occur
Solution Approach 1:
The system continuously varies processing parameters based on audio content classification results. The controller adjusts equalization gains, dialog enhancement levels, and other processing parameters in a continuous manner rather than discrete steps, maintaining audio quality consistency during transitions between different content types while preserving preset configuration flexibility
Data Source
AI summary
Apparatus and methods for audio classifying and processing are disclosed. In one embodiment, an audio processing apparatus includes an audio classifier for classifying an audio signal into at least one audio type in real time; an audio improving device for improving experience of audience; and an adjusting unit for adjusting at least one parameter of the audio improving device in a continuous manner based on the confidence value of the at least one audio type.