Dynamic Audio Type Recognition Thresholds Using Continuous Frames
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Solution Overview
Problem
Current audio recognition methods using constant thresholds suffer from poor recognition accuracy.
Innovation Solution
An audio processing method that dynamically adjusts recognition thresholds based on characteristic information of continuous audio frames, using a threshold adjustment condition to improve the accuracy of audio type recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a constant threshold is used for audio recognition, then the recognition process is simple and fast, but the recognition accuracy is poor
Solution Approach 1:
The patent applies dynamics by transforming the static constant threshold into a dynamic adaptive threshold that automatically adjusts based on audio frame characteristics. The threshold is no longer fixed but evolves with the input signal properties, allowing the system to maintain high recognition accuracy across varying audio conditions without manual intervention.
Solution Approach 2:
The patent implements feedback by using the characteristics of continuously recognized audio frames to adjust the recognition threshold. The system monitors recognition results and audio frame properties, then feeds this information back to modify the threshold, creating a closed-loop control system that continuously optimizes recognition accuracy.
2Measurement precision
If the recognition threshold is adjusted dynamically based on audio frame characteristics, then the recognition accuracy is improved, but the computational complexity increases
Solution Approach 1:
The patent applies parameter changes by modifying the recognition threshold parameter based on audio frame characteristics such as energy, zero-crossing rate, or spectral features. Instead of changing the entire recognition system, only the threshold parameter is adjusted, which reduces computational overhead while maintaining accuracy improvements.
3Reliability
If continuous audio frames are analyzed for threshold adjustment, then the recognition reliability is improved, but the processing time increases
Solution Approach 1:
The patent applies partial action by analyzing only the necessary characteristics of continuous audio frames rather than processing the entire audio signal. The system selectively extracts relevant features (such as energy levels, frequency components, or temporal patterns) to adjust the threshold, achieving improved reliability without proportionally increasing processing time.
Data Source
AI summary
An audio processing method and apparatus, a storage medium, and an electronic device. The audio processing method includes: acquiring an audio frame to be processed and determining an audio type of the audio frame based on a current recognition threshold; in response to a determination that a current audio frame satisfies a threshold adjustment condition, determining a determination state of a recognized audio type based on characteristic information of recognized continuous audio frames; and adjusting the current recognition threshold according to the determination state, wherein the adjusted recognition threshold is configured to recognize the audio type of a next audio frame.