DocumentCode
1859666
Title
A multifeature speech/music discrimination system
Author
Saad, E.M. ; El-Adawy, M.I. ; Abu-El-Wafa, M.E. ; Wahba, A.A.
Author_Institution
Electron. & Commmunication Dept., Helwan Univ., Cairo, Egypt
Volume
2
fYear
2002
fDate
2002
Firstpage
1055
Abstract
This paper presents a new technique for the automatic classification of audio signals into either speech or music signals. The classification is based on the most efficient five features extracted from the input signal. The correct classification ratio is always better than that using previous algorithms.
Keywords
audio signal processing; feature extraction; music; signal classification; audio content analysis; audio signal classification; feature extraction; music signal; speech signal; Detectors; Equations; Frequency measurement; Multiple signal classification; Power engineering and energy; Power engineering computing; Power measurement; Speech; Strontium; Time measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Computer Engineering, 2002. IEEE CCECE 2002. Canadian Conference on
ISSN
0840-7789
Print_ISBN
0-7803-7514-9
Type
conf
DOI
10.1109/CCECE.2002.1013091
Filename
1013091
Link To Document