Name
Abstract | ||
|---|---|---|
In this paper we propose a method for automatic local time adaptation of the spectrogram of an audio signal, based on its decomposition within a Gabor multi-frame. The sparsity of the analyses within each individual frame is evaluated through the Renyi entropies measures. According to the sparsity of the decompositions, an optimal resolution and a reduced multi-frame are determined, defining an adapted spectrogram with variable resolution an d hop size. The composition of such a reduced multi-frame allows an immediate definition of a dual frame: re-synthesis techniques fo r this adapted analysis are easily derived by the traditional phas e vocoder scheme. |
Year | Venue | Keywords |
|---|---|---|
2011 | CoRR | local time |
Field | DocType | Volume |
Audio signal,Pattern recognition,Spectrogram,Computer science,Phase vocoder,Speech recognition,Artificial intelligence,Local time,Gabor transform,Variable resolution | Journal | abs/1109.6313 |
ISSN | Citations | PageRank |
Proc. of the 13th Int. Conference on Digital Audio Effects
(DAFx-10), Graz, Austria , September 6-10, 2010 | 1 | 0.40 |
References | Authors | |
3 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marco Liuni | 1 | 10 | 2.67 |
| Axel Röbel | 2 | 175 | 17.54 |
| Marco Romito | 3 | 6 | 1.73 |
| Xavier Rodet | 4 | 627 | 107.87 |