Title
Signal representation based on instantaneous amplitude models with application to speech synthesis
Abstract
In this correspondence, a model for multicomponent signal representation is proposed. This model can avoid the difficulty in dealing with the time-varying phases and allow us to carry out an optimization procedure easily such that the synthetic signal can be made as close to the original one as possible. This model is successfully applied to speech analysis/synthesis
Year
DOI
Venue
2000
10.1109/89.841218
IEEE Transactions on Speech and Audio Processing
Keywords
Field
DocType
optimisation,signal representation,frequency estimation,speech analysis,speech synthesis,multicomponent signal representation,optimization,instantaneous amplitude models,indexing terms,frequency modulation,phase detection,signal analysis,filtering
Speech processing,Signal processing,Speech synthesis,Pattern recognition,Computer science,Waveform,Filter (signal processing),Speech recognition,Artificial intelligence,Frequency modulation,Estimation theory,Signal reconstruction
Journal
Volume
Issue
ISSN
8
3
1063-6676
Citations 
PageRank 
References 
10
0.64
6
Authors
3
Name
Order
Citations
PageRank
Gang Li110612.64
Lunji Qiu2203.28
Ling Kok Ng3100.64