Voting system based robust and efficient audiocopy detection

Autor:	Ezgi Can Ozan, Ersin Esen, Unal Zubari, Tolga Ciloglu, Ahmet Saracoglu, Banu Oskay Acar
Rok vydání:	2009
Předmět:	business.industry Computer science Speech recognition media_common.quotation_subject Speech coding Signal Copy protection Digital audio broadcasting Distortion (music) Distortion Voting Computer vision Artificial intelligence business Representation (mathematics) media_common
Zdroj:	2009 IEEE 17th Signal Processing and Communications Applications Conference.
DOI:	10.1109/siu.2009.5136547
Popis:	Audio Copy Detection(ACD) problem has several difficulties due to signal distortions and huge amount of audio data to be searched. In this paper we propose a fast audio copy detection system which is very robust against common signal distortions.The proposed method performs a vote based search on 15 bit representation of audio data.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::7ef6701e0037edef3a79cf68772f7e73 https://doi.org/10.1109/siu.2009.5136547 Zobrazit plný text záznamu