Title :
Optimal perceptual binary allocation for AAC audio coder
Author :
Perreau-Guimaraes, Marcos ; Bonnet, Madeleine ; Moreau, Nicolas
Author_Institution :
UFR Math-Info, Univ. Rene Descartes, Paris, France
fDate :
6/21/1905 12:00:00 AM
Abstract :
High quality music coders use an auditory masked threshold to account for the characteristics of the human ear. The masked thresholds calculated by these coders do not correspond to the theoretical threshold, solution of a non-linear constrained deconvolution problem because of the huge complexity required. We present a binary allocation algorithm solving at the same time the deconvolution problem, while maintaining a tolerable complexity
Keywords :
audio coding; deconvolution; hearing; music; optimisation; AAC audio coder; MPEG; auditory masked threshold; binary allocation algorithm; complexity; deconvolution problem solution; high quality music coders; human ear; informal listening tests; music sequences; nonlinear constrained deconvolution; optimal perceptual binary allocation; psycho-acoustical deconvolution; psycho-acoustical theory; speech sequences; Humans; Noise shaping; Psychoacoustic models; Psychology; Signal analysis; Telecommunication computing;
Conference_Titel :
Global Telecommunications Conference, 1999. GLOBECOM '99
Conference_Location :
Rio de Janeireo
Print_ISBN :
0-7803-5796-5
DOI :
10.1109/GLOCOM.1999.827594