Title :
High frequency reconstruction of audio signal based on chaotic prediction theory
Author :
Sha, Yong-Tao ; Bao, Chang-Chun ; Jia, Mao-shen ; Liu, Xin
Author_Institution :
Speech & Audio Signal Process. Lab., Beijing Univ. of Technol., Beijing, China
Abstract :
The quality of audio signals that have been encoded with low-bit rate audio coding standards is degraded because the high frequency information has been removed. The quality of such audio signals can, however, be improved by reconstructing the high frequency information which was lost. In this paper the principles of audio signal production and the characteristics of the human hearing system have been used to develop a blind high frequency reconstruction method based on chaotic prediction theory. Performance evaluation with objective and subjective tests has shown that this method is, in most cases, more efficient than other blind high frequency reconstruction methods.
Keywords :
audio coding; chaos; signal reconstruction; audio signal production; audio signal reconstruction; blind high frequency reconstruction; chaotic prediction theory; human hearing system; Audio coding; Auditory system; Chaos; Degradation; Frequency; Humans; Prediction theory; Production systems; Reconstruction algorithms; Testing; Audio coding; Chaotic prediction; High Frequency Reconstruction; Non-linear systems;
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2010.5495813