DocumentCode
2035749
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
Fac. of Eng., Helwan Univ., Cairo, Egypt
fYear
2002
fDate
2002
Firstpage
208
Lastpage
213
Abstract
This paper presents a new technique for the automatic classification of audio signals into either speech or music signal. 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; speech processing; automatic audio signal classification; correct classification ratio; feature extraction; input signal; multifeature speech/music discrimination system; music signal; radio station; speech signal; Frequency measurement; Multiple signal classification; Music; Power measurement; Receivers; Signal analysis; Signal processing; Speech analysis; Speech processing; Switches;
fLanguage
English
Publisher
ieee
Conference_Titel
Radio Science Conference, 2002. (NRSC 2002). Proceedings of the Nineteenth National
Print_ISBN
977-5031-72-9
Type
conf
DOI
10.1109/NRSC.2002.1022623
Filename
1022623
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