Digital Repository

Serverless Computing Architecture for Fingerprint-based Audio Duplicate Identification

Show simple item record

dc.contributor.author Randeniya, Ishan
dc.date.accessioned 2019-01-24T05:40:53Z
dc.date.available 2019-01-24T05:40:53Z
dc.date.issued 2018
dc.identifier.citation Randeniya, I (2018) Serverless Computing Architecture for Fingerprint-based Audio Duplicate Identification. MSc. Dissertation. Informatics Institute of Technology en_US
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/28
dc.description.abstract This research explorers a distributed algorithm for similarity search in large audio database which has high scalability. Even though the database had been scaled, processing time will be an average time for all levels of scaling. Depending on the background and the previous work, and the rational is to find the best matching audio and the comparison undertake to find the best matching sequential frequencies it is the most suited method that is using audio-fingerprints. Instead of comparing the complete clips, the way that uses fingerprints and hashes more efficient due to the comparison is only for the particular hashes. Although it doesn’t go through each files or hash. The research describes a serverless architecture to identify audios based on the fingerprint-based approach. For the fingerprinting it has identified Min-Hash is the suitable hashing algorithm. en_US
dc.subject Pattern Recognition en_US
dc.subject Audio Fingerprinting en_US
dc.subject Audio Signal Processing en_US
dc.title Serverless Computing Architecture for Fingerprint-based Audio Duplicate Identification en_US
dc.type Thesis en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search


Advanced Search

Browse

My Account