Audio Clip Metadata Filtering for Music Identification
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Solution Overview
Problem
Media identification systems face challenges in efficiently utilizing computational and communication resources, as they often process and transmit unnecessary data for identifying media content.
Innovation Solution
A media identification system that filters metadata to determine if an audio clip contains music before transmitting data to a server, using techniques like FFT and RMS analysis to generate smaller metadata packets, and adjusts audio clip length and interval based on identification success.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If media identification data is transmitted for every audio clip, then identification coverage is improved, but communication resources are wasted
Solution Approach 1:
The system performs preliminary analysis by extracting metadata from audio clips before transmitting full media identification data. This preliminary action filters out non-music audio clips early, preventing wasteful transmission of unnecessary data while maintaining identification coverage for relevant content.
Solution Approach 2:
The system extracts only essential metadata features from audio clips rather than transmitting complete audio data. This extraction process isolates the critical information needed for identification while discarding redundant data, reducing communication overhead significantly.
2Measurement precision
If media identification data is transmitted for every audio clip, then identification accuracy is improved, but computational resources are wasted
Solution Approach 1:
The system performs preliminary filtering using metadata analysis before committing computational resources to full media identification processing. This preliminary action identifies and processes only music-containing audio clips, ensuring accurate identification where needed while avoiding wasteful computation on non-music content.
Solution Approach 2:
The system applies different processing quality levels to different audio clips based on their content characteristics. Music clips receive full identification processing for high accuracy, while non-music clips receive only lightweight metadata analysis, optimizing the balance between identification accuracy and computational resource usage.
3Measurement precision
If metadata analysis is performed on all audio clips, then data filtering accuracy is improved, but processing time increases
Solution Approach 1:
The system performs partial metadata analysis on all audio clips to determine basic characteristics, then applies full filtering accuracy only to clips that meet preliminary criteria. This partial action approach maintains high filtering accuracy for relevant content while reducing overall processing time by avoiding exhaustive analysis of all clips.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach conserves computational and communication resources by only processing and transmitting relevant data, improving the accuracy and efficiency of media identification.
Implementation Method 1
the audio clip processing module is configured to generate the metadata by applying a fast Fourier transform to the audio clip and determining a root mean square, RMS, value of the audio clip
Data Source
AI summary
A media identification system is provided. The system comprises an audio input configured to receive an audio signal, and an audio clip extraction module configured to extract an audio clip from the audio signal. The system further comprises an audio clip processing module configured to generate metadata based upon the audio clip, and a first communication interface configured to transmit media identification data corresponding to the audio clip to a media identification server when the metadata based upon the audio clip meets a predetermined requirement, wherein the predetermined requirement comprises the metadata indicating that the audio clip comprises music.