This Python project is about implementing the COCHONUT algorithm for automatic chord recognition presented in "COCHONUT: Recognizing Complex Chords From MIDI Guitar Sequences" by Scholz, R. and Ramalho, G., published at ISMIR 2008.
SHOW FULL COLUMNS FROM `jrk_downrecords` [ RunTime:0.001353s ]
SELECT `a`.`aid`,`a`.`title`,`a`.`create_time`,`m`.`username` FROM `jrk_downrecords` `a` INNER JOIN `jrk_member` `m` ON `a`.`uid`=`m`.`id` WHERE `a`.`status` = 1 GROUP BY `a`.`aid` ORDER BY `a`.`create_time` DESC LIMIT 10 [ RunTime:0.090358s ]
SHOW FULL COLUMNS FROM `jrk_tagrecords` [ RunTime:0.003028s ]
SELECT * FROM `jrk_tagrecords` WHERE `status` = 1 ORDER BY `num` DESC LIMIT 20 [ RunTime:0.002297s ]
SHOW FULL COLUMNS FROM `jrk_member` [ RunTime:0.001711s ]
SELECT `id`,`username`,`userhead`,`usertime` FROM `jrk_member` WHERE `status` = 1 ORDER BY `usertime` DESC LIMIT 10 [ RunTime:0.010337s ]
SHOW FULL COLUMNS FROM `jrk_searchrecords` [ RunTime:0.001296s ]
SELECT * FROM `jrk_searchrecords` WHERE `status` = 1 ORDER BY `num` DESC LIMIT 5 [ RunTime:0.007522s ]
SELECT aid,title,count(aid) as c FROM `jrk_downrecords` GROUP BY `aid` ORDER BY `c` DESC LIMIT 10 [ RunTime:0.014884s ]
SHOW FULL COLUMNS FROM `jrk_articles` [ RunTime:0.001095s ]
UPDATE `jrk_articles` SET `hits` = 2 WHERE `id` = 86588 [ RunTime:0.026775s ]
