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
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;
Conference_Titel :
Electrical and Computer Engineering, 2002. IEEE CCECE 2002. Canadian Conference on
Print_ISBN :
0-7803-7514-9
DOI :
10.1109/CCECE.2002.1013091
