Title :
Audio bandwidth extension based on Grey model
Author :
Haichuan Bai ; Changchun Bao ; Xin Liu ; Hongrui Li
Author_Institution :
Speech & Audio Signal Process. Lab., Beijing Univ. of Technol., Beijing, China
fDate :
Oct. 29 2013-Nov. 1 2013
Abstract :
A kind of audio bandwidth extension method based on Grey Model is proposed in this paper. Grey Model is utilized for estimating the envelope of high-frequency spectrum, according to the evolutionary tendency of audio spectral envelope. In addition, nearest-neighbor matching is utilized to predict the fine spectrum of high-frequency components. At last, through the envelope adjustment of high-frequency spectrum, the bandwidth extension of audio signals from wideband to super-wideband can be implemented. Objective performance evaluation indicates that the proposed method can effectively reconstruct the truncated high-frequency components and outperform the conventional method of audio bandwidth extension based on Gaussian mixture model.
Keywords :
Gaussian processes; audio signal processing; mixture models; signal reconstruction; Gaussian mixture model; Grey model; audio bandwidth extension method; audio signal; audio spectral envelope; high-frequency component; high-frequency spectrum; nearest-neighbor matching; Bandwidth; Differential equations; Estimation; Hafnium; Hidden Markov models; Mathematical model; Spectrogram; Bandwidth extension; Grey Model; nearest-neighbor matching;
Conference_Titel :
Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2013 Asia-Pacific
Conference_Location :
Kaohsiung
DOI :
10.1109/APSIPA.2013.6694275
