Audio Fingerprinting Technique Helps Content Tracking

Audio-Fingerprinting-Technique-Helps-Content-Tracking

Audio fingerprinting is an audio-retrieval technique specifically built on content-based identification method. Using audio fingerprinting system, it is possible to detect a particular audio segment from a huge audio library.

How does audio fingerprinting technique work?

Audio fingerprinting technique generates a database of compressed acoustic structures from a large audio library. It creates a virtual plot of anchor points for the recording attributes using parameters such as frequency, time, signal interferences, intensity, etc. Every audio fingerprint contains its own unique combination of metadata making it easy for retrieval.

At a certain point when an unknown audio fragment is ingested into the system, the system scans through the database where audio fingerprints are stored. It tries to match the features of the ingested audio fragment with the metadata available in the database. Once the fingerprint of the ingested audio fragment matches with the data in the database, they can be confirmed as the same audio content and can be retrieved.

For an audio fingerprinting system to be robust, it has to meet certain requirements.

  • To be resistant against audio distortions.
  • Database to be scalable with growing digital audio sequences.
  • The size of audio fingerprint database to be kept minimal by having compressed and compact fingerprints.
  • It is important to have distinctly specific fingerprints so that even a short audio fragment matches only with the corresponding data.
  • The system should adopt a very efficient strategy while it looks up for a metadata.

The two main pieces of an audio fingerprinting framework are extraction of fingerprint from the audio query and matching it with fingerprint available in the database. Audio fingerprinting based content tracking has seen exponential growth in terms of its application.

Audio Fingerprinting technique helps in a big way to lookup lost closed captions. Broadcasters and content owners do not have to generate closed captions again from scratch if captions had been originally created. Digital Nirvana’s closed captioning processes effectively make use of audio fingerprinting technology to retrieve closed captions.