DocumentCode
1652688
Title
Discrimination between speech and music using time series events
Author
Alnadabi, Muhammad ; Johnstone, Sherri
Author_Institution
Sultan Qaboos Univ., Muscat
fYear
2008
Firstpage
565
Lastpage
570
Abstract
In this paper, a novel method for the discrimination of speech and music, motivated by the zero crossing rate (ZCR) approach, is proposed. This method has the potential to detect the presence of music by a simple count of a certain event related to non zero crossing.
Keywords
music; speech recognition; average dominant frequency; music detection; speech processing; zero crossing rate; Automatic speech recognition; Data mining; Equations; Event detection; Feature extraction; Memory; Music information retrieval; Performance analysis; Signal analysis; Speech analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2008. ICSP 2008. 9th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-2178-7
Electronic_ISBN
978-1-4244-2179-4
Type
conf
DOI
10.1109/ICOSP.2008.4697196
Filename
4697196
Link To Document