Title :
Music files compression based on time-frequency representation of audio signal
Author :
Shekhirev, Andrew V. ; Rabinovich, Evgeniy V.
Author_Institution :
Dept. of Comput. Eng., Novosibirsk State Tech. Univ., Novosibirsk
Abstract :
Audio data compression algorithm based on time-frequency presentation of music signal is offered. For calculation time-frequency representation of an audio signal was developed the algorithm, based on short fast Fourier transform (SFFT). The result of algorithm work are the files having as it is possible the smaller size on condition that ldquothe main senserdquo of music will keep, for tasks of identification of a signal, search of pieces of music, etc.
Keywords :
audio coding; data compression; encoding; fast Fourier transforms; music; signal representation; time-frequency analysis; audio signal data compression algorithm; music file compression; music signal; short fast Fourier transform; time-frequency representation; Content based retrieval; Fast Fourier transforms; Frequency conversion; Instruments; Multiple signal classification; Music information retrieval; Signal processing; Signal processing algorithms; Signal resolution; Time frequency analysis;
Conference_Titel :
Strategic Technologies, 2008. IFOST 2008. Third International Forum on
Conference_Location :
Novosibirsk-Tomsk
Print_ISBN :
978-1-4244-2319-4
Electronic_ISBN :
978-1-4244-2320-0
DOI :
10.1109/IFOST.2008.4602938
