Title :
A detection algorithm for single tones and chords applying wavelet packets and the extended Kalman filter
Author_Institution :
Niihama Nat. Coll. of Technol., Japan
Abstract :
A detection algorithm for single tones and chords which sounds several tones simultaneously has been developed. The algorithm which wavelet packets analyses and extended Kalman filtering are applied to is designed for log-normal state vector, distributed initial phase and observation noise under the central limit theorem. Derivation of the algorithm as well as practical performance for transcription of chords, intervals and single tones are introduced.
Keywords :
Kalman filters; audio signal processing; filtering theory; music; random noise; signal detection; wavelet transforms; central limit theorem; chord detection algorithm; chord transcription; extended Kalman filter; log normal state vector design; music; random noise; single tone detection algorithm; tone transcription; wavelet packet analyses; Acoustic noise; Algorithm design and analysis; Detection algorithms; Educational institutions; Filtering algorithms; Frequency estimation; Music; Phase noise; Wavelet analysis; Wavelet packets;
Conference_Titel :
Circuits and Systems, 2004. MWSCAS '04. The 2004 47th Midwest Symposium on
Print_ISBN :
0-7803-8346-X
DOI :
10.1109/MWSCAS.2004.1354383
