Intelligent Alignment Method of Broadcast Audio Signal Source Content Based on Feature Extraction
A method of intelligent content comparison of broadcast audio signal source based on feature extraction is studied.The method combines dynamic threshold adjustment and machine learning optimization strategies to achieve efficient and accurate audio source content comparison through audio feature analysis,audio fingerprint generation,feature vector matching and other technologies.The experimental results show that the method achieves high accuracy and recall rate on different audio types,F1 value is up to 0.976.Dynamic threshold adjustment effectively balances accuracy rate and recall rate,and machine learning optimization strategy further improves algorithm performance.
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