Audio Event Recognition for Accurate Music Playback Statistics
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Solution Overview
Problem
Existing audio detection methods fail to accurately acquire music-related statistical data such as music duration and playback start-end times from detected audio.
Innovation Solution
An audio detection method and apparatus that includes recognizing music events in audio segments, determining metadata information matched with these events, and calculating statistical data based on that information, utilizing pre-trained music recognition models and audio fingerprint features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional audio detection methods are used, then the detection process is simple, but music-related statistical data cannot be accurately acquired
Solution Approach 1:
The audio file is divided into multiple audio segments, and each segment is processed independently to identify music events. This segmentation allows the system to analyze music characteristics in smaller units, improving the accuracy of music duration and playback time detection while managing computational complexity through divide-and-conquer processing.
Solution Approach 2:
The system performs preliminary music event recognition on audio segments before final statistical calculation. By pre-identifying music events, their start and end times are recorded in advance, which enables accurate computation of music duration and playback timing without requiring complex real-time analysis during the final detection phase.
2Measurement precision
If audio segments are analyzed in detail to improve detection accuracy, then music statistical data can be accurately acquired, but processing time increases
Solution Approach 1:
By dividing the audio into segments and processing them in parallel or sequential batches, the system reduces the computational burden on any single processing unit. This allows detailed analysis of each segment to maintain high detection accuracy while the overall processing time is managed through efficient segment-level parallelization.
Solution Approach 2:
The system applies music event recognition to all audio segments (excessive action) to ensure no music events are missed, but only processes segments that contain music events in detail for statistical calculation. This partial detailed processing approach maintains high accuracy for music detection while reducing unnecessary processing time on non-music segments.
Data Source
AI summary
An audio detection method and apparatus, a storage medium, and an electronic device. The audio detection method includes: acquiring an audio segment in detected audio, and recognizing a music event in the audio segment; determining metadata information matched with the music event, and determining statistical data in the detected audio on the basis of the metadata information.