DocumentCode
2811505
Title
Blind upmix of stereo music signals using multi-step linear prediction based reverberation extraction
Author
Kinoshita, Keisuke ; Nakatani, Tomohiro ; Miyoshi, Masato
Author_Institution
NTT Commun. Sci. Labs., Kyoto, Japan
fYear
2010
fDate
14-19 March 2010
Firstpage
49
Lastpage
52
Abstract
We propose a blind upmixing method for stereo music signals that utilizes multi-step linear prediction and decomposes the input signals into reverberation and the dereverberated signals. The proposed method is directly motivated by our previously proposed dereverberation algorithm that was shown to dereverberate speech signals well. In this paper, we first analyze the behavior of the multi-step linear prediction and investigate the reverberation reduction/extraction strategy using a stereo music signal model. Based on the analysis, we show that the proposed method can perform a dereverberation and reverberation extraction based on the stereo music signal, and achieve an efficient blind upmix of stereo music by assigning its dereverberated signal to the front channels and extracted reverberation to the rear channels. In the experiment, we apply the proposed upmixing method to real stereo music signals, and confirm its effectiveness with an objective evaluation and a preference test.
Keywords
audio signal processing; deconvolution; music; reverberation; blind upmixing method; dereverberated signal; dereverberation algorithm; input signal decompositon; multistep linear prediction; reverberation extraction; reverberation reduction; reverberation signal; stereo music signal blind upmixing; Audio recording; Laboratories; Multiple signal classification; Performance analysis; Predictive models; Reverberation; Signal analysis; Speech; Testing; Transfer functions; blind upmix; dereverberation; preference test; stereo music;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location
Dallas, TX
ISSN
1520-6149
Print_ISBN
978-1-4244-4295-9
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2010.5496234
Filename
5496234
Link To Document