DocumentCode
2232011
Title
A speech/music discriminator using RMS and zero-crossings
Author
Panagiotakis, C. ; Tziritas, G.
Author_Institution
Dept. of Comput. Sci., Univ. of Crete, Heraklion, Greece
fYear
2002
fDate
3-6 Sept. 2002
Firstpage
1
Lastpage
4
Abstract
An audio segmentation method and a speech/music classifier are proposed. The characteristics used are considerably reduced. Segmentation is based on mean signal amplitude distribution, whereas classification utilizes an additional characteristic related to the mean frequency. The segmentation and classification algorithms were benchmarked on a large data set, with correct segmentation about 97% of the time and correct classification about 95%.
Keywords
audio signal processing; mean square error methods; signal classification; speech processing; RMS; audio segmentation method; mean frequency; mean signal amplitυde distribυtion; root mean square method; speech-music classification; speech-music discriminator; zero-crossing; Abstracts; Estimation; Histograms; Robustness; Speech; World Wide Web;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2002 11th European
Conference_Location
Toulouse
ISSN
2219-5491
Type
conf
Filename
7071924
Link To Document