| Author(s) | Abdullah I. Al-Shoshan , Atiyah Alatiyah and Khalid Al-Mashouq |
| Affiliation | Department of Computer Engineering, College of Computer & Information Sciences King Saud University, P.O. Box 51178, Riyadh 11543, Saudi Arabia e-mail: shoshan@ccis.ksu.edu.sa & Department of Electrical Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia and Department of Electrical Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia |
| Title | A Three-Level Speech, Music, and Mixture Classifier |
| Source | Journal of King Saud University. Engineering Sciences. Volume 16, No 1. (2004/1424) |
| Abstract | Due to the new techniques of analysis and synthesis of speech signals, the musical signal processing has gained particular weight, and therefore, the classical sound analysis techniques are used in processing music signals. In this paper, a general three-level algorithm for discriminating three general types of signals: speech, music, and mixture of both signals is proposed. The proposed classifier is based on the well-known zero-crossing rate (ZCR) [1] and short-time energy (STE) [2,3] algorithms, with the positive derivative and voting procedures. Some theoretical analysis and simulation has been applied to a library of different types of musical and speech signals to show the performance of the proposed algorithm. |
