Audio Fingerprinting for Live Event Media Synchronization
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Solution Overview
Problem
Audience-recorded media content from live events often features low-quality, distorted audio that is inaudible and unwatchable, lacking the high-quality audio provided by official recordings which do not incorporate the personal perspective of spectators.
Innovation Solution
A method and system that uses tag data and fingerprint data to match low-quality audio with better-quality audio, compensating for timing misalignment to replace or augment the low-quality audio in media content, synchronizing it with video content, and utilizing feature vectors to reduce search complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If audience members use smartphones and hand-held recording devices to capture event performances, then the recordings provide personalized mementos of the event experience, but the audio quality becomes low and distorted making the content inaudible and unwatchable
Solution Approach 1:
The patent uses audio fingerprinting technology as an intermediary mechanism to bridge the gap between low-quality audience recordings and high-quality source audio. The system extracts acoustic features from the poor-quality recording, matches them against a database of professional recordings, and replaces or enhances the audio content accordingly, thereby mediating between the two quality extremes.
Solution Approach 2:
The system changes the acoustic parameters of the recording by transforming the low-quality audio through fingerprint matching and replacement with high-quality source material. This parameter transformation maintains the visual perspective of the audience recording while upgrading the audio quality to professional standards.
2Measurement precision
If official recordings are provided to improve audio quality, then the sound quality becomes studio-clear, but the recordings lose the fans' and spectators' personal perspective of the live performance
Solution Approach 1:
The patent segments the media content into separate audio and video components, allowing independent processing of each. The video content retains the original audience perspective while the audio content is separately enhanced through fingerprint matching and replacement with high-quality source audio, enabling the two elements to be optimized independently and then recombined.
Solution Approach 2:
The system applies different quality levels to different components of the media content. The video maintains its original audience-recorded quality with personal perspective, while the audio is upgraded to studio-clear quality through source replacement, creating a composite with non-uniform quality distribution optimized for each component's specific requirements.
3Measurement precision
If low-quality audio content is replaced with better-quality audio content, then the audio quality improves to studio-clear sound, but timing misalignment occurs between the audio and video content
Solution Approach 1:
The patent performs preliminary timing analysis and offset calculation before finalizing the audio replacement. By pre-calculating the synchronization offsets between the source audio and video content, and applying corrective timing adjustments in advance, the system prevents timing misalignment issues from manifesting in the final output.
Solution Approach 2:
The system implements a feedback mechanism where the timing relationship between replaced audio and video content is continuously monitored and adjusted. Synchronization offsets are detected and corrected through iterative timing analysis, ensuring that the enhanced audio remains properly synchronized with the video throughout the media content.
Data Source
AI summary
A method of replacing low-quality audio content by better-quality audio content in media content comprising the low-quality audio content synchronized with video content. Tag data and/or fingerprint data associated with the low-quality audio content are used to perform a search to find a matching portion of better-quality audio content. The low-quality audio content can be replaced with the matched portion of the better-quality audio content by compiling the matched audio portion with the video content of the media content. Included is any of: compensating for an amount of timing misalignment between the low-quality audio content and the matched portion of audio content; obtaining fingerprint data for the audio content of the media content by using hash values of spectrogram frequency peaks; obtaining one or more feature vectors from the audio content of the media content to reduce a size of a search of stored instances of audio content.