Title :
Explicit onset modeling of sinusoids using time reassignment
Author :
Master, Aaron S. ; Lee, Kyogu
Author_Institution :
Center for Comput. Res. in Music & Acoust., Stanford Univ., CA, USA
Abstract :
We introduce a system that explicitly models the onsets of sinusoidal signal components. The system uses time reassignment data to detect probable onsets. When an onset is detected, the reassigned data is used to estimate the precise location in time of the original onset, allowing synthesis of the corresponding output. This is advantageous over conventional time reassignment which implicitly smears onsets. We demonstrate the efficacy of our system on synthetic and real test signals with sudden onsets.
Keywords :
audio signal processing; music; parameter estimation; signal representation; speech processing; music signal representation; precise time location estimation; sinusoidal signal onset modeling; speech signal representation; time reassignment; Acoustic noise; Acoustic signal detection; Frequency estimation; Multiple signal classification; Music; Psychoacoustic models; Spectrogram; Speech; System testing; Time frequency analysis;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
Print_ISBN :
0-7803-8874-7
DOI :
10.1109/ICASSP.2005.1415686