Name
Abstract | ||
|---|---|---|
In this paper, we propose an instantaneous amplitude (IA) based model for speech signal representation. Unlike the traditional representation, we represent each component with two parametrized instantaneous amplitudes and one constant `center' frequency. This can avoid the difficulty in dealing with the time-varying phases and allows us to carry out an optimization procedure easily such that the synthetic signal can he made as close to the original one as possible. Experiments show that the synthetic speech with the developed technique is of excellent quality and almost perceptually indistinguishable from the original speech. |
Year | Venue | Keywords |
|---|---|---|
1998 | EUSIPCO | optimisation,signal representation,speech synthesis,ia based model,constant center frequency,optimization procedure,parametrized instantaneous amplitudes,speech analysis,speech signal representation,synthetic signal,time-varying phases,speech,optimization |
Field | DocType | ISBN |
Speech processing,Speech coding,Parametrization,Computer science,Speech recognition,Amplitude,Linear predictive coding,Phase frequency detector | Conference | 978-960-7620-06-4 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||