DocumentCode :
3727015
Title :
Comparing human and automated speaker recognition in case of imitated speech
Author :
Tijana Deli?;Simona ?uri?;Slobodan Jo?i?
Author_Institution :
Fakulteta tehni?kih nauka, Univerziteta u Novom Sadu, Trg Dositeja Obradovi?a 6, 21000 Novi Sad
fYear :
2015
Firstpage :
425
Lastpage :
428
Abstract :
The voice of each speaker is unique, which means that speaker identification based on voice is possible, but there are no reliable methods for that, yet. The reason is that the voice of a speaker can vary a lot and that different voices can sometimes sound quite similar. The aim of this research is to determine which features are the most important to humans for speaker identification, as well as features which the automated speaker recognition system relies on.
Keywords :
"Forensics","Pragmatics","Speaker recognition","Biometrics (access control)","Speech","Speech recognition"
Publisher :
ieee
Conference_Titel :
Telecommunications Forum Telfor (TELFOR), 2015 23rd
Type :
conf
DOI :
10.1109/TELFOR.2015.7377498
Filename :
7377498
Link To Document :
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