Improved hidden Markov model partial tracking for additive synthesis using time-frequency analysis
Additive synthesis models are popular for musical applications because they offer precise control over the temporal-spectral evolution of sound. The main difficulty in additive modelling lies in the estimation and tracking of model parameters for sounds with time-varying frequency content (this is...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | en |
| Published: |
McGill University
2008
|
| Subjects: | |
| Online Access: | http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=21926 |