Title :
Stereo audio classification for audio enhancement
Author_Institution :
Philips Res., Eindhoven, Netherlands
Abstract :
Stereo audio enhancement and upmixing techniques require spatial analysis of the mixture in order to work optimally for different types of contents. In this paper a method is proposed which classifies the time-frequency regions in stereo audio data into six different classes. The individual classes represent special cases of a generic stereo signal model which is introduced and characterized in the paper. Finally, the developed classifier is tested using realistic stereo audio data.
Keywords :
audio signal processing; signal classification; time-frequency analysis; audio enhancement; generic stereo signal model; realistic stereo audio data; spatial analysis; stereo audio classification; time-frequency regions; upmixing techniques; Algorithm design and analysis; Artificial neural networks; Correlation; Data models; Mathematical model; TV; Time frequency analysis; Stereophonic audio; audio upmixing; classification; headphone audio enhancement;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location :
Prague
Print_ISBN :
978-1-4577-0538-0
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2011.5946439
