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Implementation of an Intelligent Audio Graphic Equalizer System  

Lee Kang-Kyu (Division of Information and Computer Science, Dankook University)
Cho Youn-Ho (Division of Information and Computer Science, Dankook University)
Park Kyu-Sik (Division of Information and Computer Science, Dankook University)
Publication Information
Abstract
A main objective of audio equalizer is for user to tailor acoustic frequency response to increase sound comfort and example applications of audio equalizer includes large-scale audio system to portable audio such as mobile MP3 player. Up to now, all the audio equalizer requires manual setting to equalize frequency bands to create suitable sound quality for each genre of music. In this paper, we propose an intelligent audio graphic equalizer system that automatically classifies the music genre using music content analysis and then the music sound is boosted with the given frequency gains according to the classified musical genre when playback. In order to reproduce comfort sound, the musical genre is determined based on two-step hierarchical algorithm - coarse-level and fine-level classification. It can prevent annoying sound reproduction due to the sudden change of the equalizer gains at the beginning of the music playback. Each stage of the music classification experiments shows at least 80% of success with complete genre classification and equalizer operation within 2 sec. Simple S/W graphical user interface of 3-band automatic equalizer is implemented using visual C on personal computer.
Keywords
Equalizer; classifier; content-based;
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