DocumentCode
1705796
Title
Speaker dependent features in approximants of Urdu
Author
Rizvi, Mustafa M.
Volume
1
fYear
2002
Firstpage
1
Abstract
The paper suggests speaker dependent primary and secondary acoustic cues in approximants, focusing on the Urdu language. An experiment was conducted on samples from seven speakers. The data was collected and analyzed to identify the speakers. The paper also suggests various cues, which can possibly identify speakers. It also sheds some light on the problems faced during the experiments and the after effects of an increase in the number of speakers.
Keywords
acoustic signal processing; natural languages; speaker recognition; speech processing; Urdu; acoustic cues; approximants; speaker dependent features; speaker identification; speech processing; Bandwidth; Databases; Digital signal processing; Frequency measurement; Loudspeakers; Natural languages; Speech analysis; Speech processing; Speech recognition; Text recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Students Conference, 2002. ISCON '02. Proceedings. IEEE
Print_ISBN
0-7803-7505-X
Type
conf
DOI
10.1109/ISCON.2002.1215932
Filename
1215932
Link To Document