Title :
Intelligent Query by Humming System
Author :
Nam, Gi Pyo ; Park, Kang Ryoung ; Lee, Soek-Pil ; Lee, Eui Chul ; Kim, Moo-Young ; Kim, Kichul
Author_Institution :
Dept. of Electron. Eng., Dongguk Univ., Seoul, South Korea
Abstract :
This research proposes new system which finds the music by using Query-by-humming (QBH). For finding a stored music, the features of humming data are selected by using G.729 feature extractor. We normalize the extracted features by using mean-shifting, median filtering, average filtering and min-max scaling methods. Then the corresponding music is matched based on dynamic time warping (DTW) algorithm. As experiment, we compared the matching performance by using the database of Roger Jang´s Corpus in MIREX.
Keywords :
feature extraction; information filtering; median filters; minimax techniques; music; query processing; G.729 feature extractor; Humming system; MIREX; QBH; average filtering; dynamic time warping algorithm; feature extraction; intelligent query; mean-shifting; median filtering; min-max scaling methods; music; Computer science; Content based retrieval; Data mining; Feature extraction; Filtering; Flowcharts; Matched filters; Music information retrieval; Spatial databases; Speech;
Conference_Titel :
Ubiquitous Information Technologies & Applications, 2009. ICUT '09. Proceedings of the 4th International Conference on
Conference_Location :
Fukuoka
Print_ISBN :
978-1-4244-5131-9
DOI :
10.1109/ICUT.2009.5405705
