@article{(Open Science Index):https://publications.waset.org/pdf/16076,
	  title     = {Orchestra/Percussion Classification Algorithm for United Speech Audio Coding System},
	  author    = {Yueming Wang and  Rendong Ying and  Sumxin Jiang and  Peilin Liu},
	  country	= {},
	  institution	= {},
	  abstract     = {Unified Speech Audio Coding (USAC), the latest MPEG standardization for unified speech and audio coding, uses a speech/audio classification algorithm to distinguish speech and audio segments of the input signal. The quality of the recovered audio can be increased by well-designed orchestra/percussion classification and subsequent processing. However, owing to the shortcoming of the system, introducing an orchestra/percussion classification and modifying subsequent processing can enormously increase the quality of the recovered audio. This paper proposes an orchestra/percussion classification algorithm for the USAC system which only extracts 3 scales of Mel-Frequency Cepstral Coefficients (MFCCs) rather than traditional 13 scales of MFCCs and use Iterative Dichotomiser 3 (ID3) Decision Tree rather than other complex learning method, thus the proposed algorithm has lower computing complexity than most existing algorithms. Considering that frequent changing of attributes may lead to quality loss of the recovered audio signal, this paper also design a modified subsequent process to help the whole classification system reach an accurate rate as high as 97% which is comparable to classical 99%.
},
	    journal   = {International Journal of Electronics and Communication Engineering},
	  volume    = {7},
	  number    = {8},
	  year      = {2013},
	  pages     = {1032 - 1037},
	  ee        = {https://publications.waset.org/pdf/16076},
	  url   	= {https://publications.waset.org/vol/80},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 80, 2013},
	}