Name
Abstract | ||
|---|---|---|
We present a framework for the analysis and synthesis of acoustical instrumentsbased on data-driven probabilistic inference modeling. Audio time series and boundaryconditions of a played instrument are recorded and the non-linear mapping from thecontrol data into the audio space is inferred using the general inference frameworkof Cluster-Weighted Modeling. The resulting model is used for real-time synthesis ofaudio sequences from new input data.1 IntroductionMost of today's musical... |
Year | Venue | Field |
|---|---|---|
1998 | ICMC | Data-driven,Computer science,Speech recognition |
DocType | Citations | PageRank |
Conference | 2 | 0.92 |
References | Authors | |
2 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bernd Schoner | 1 | 51 | 10.84 |
| Chuck Cooper | 2 | 8 | 2.33 |
| Chris Douglas | 3 | 667 | 23.01 |
| Neil Gershenfeld | 4 | 471 | 213.47 |