An Approach for Device localization using audio fingerprinting based

Audio fingerprinting is defined as a condensed digital summary to establish the equality or similarity of two audio objects. By comparing the fingerprinting of a query fragment of a few seconds with those stored in a fingerprinting database the system returns matching results and related metadata. Besides this query-by-example application this technology can also be used to monitor broadcast and detect copyrighted material. Audio fingerprinting is best known for its ability to link unlabeled audio to corresponding meta-data (e.g. artist and song name) regardless of the audio format. Audio fingerprinting or content-based audio identification (CBID) systems extract a perceptual digest of a piece of audio content i.e. a fingerprint and store it in a database. When presented with unlabeled audio its fingerprint is calculated and matched against those stored in the database. For the reader new to analysis of data a very short introduction is now provided on hierarchical clustering.