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
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;
Conference_Titel :
Radio Science Conference, 2002. (NRSC 2002). Proceedings of the Nineteenth National
Print_ISBN :
977-5031-72-9
DOI :
10.1109/NRSC.2002.1022623
