Title | ||
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Dirichlet Latent Variable Model: A Dynamic Model Based on Dirichlet Prior for Audio Processing. |
Abstract | ||
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We propose a dynamic latent variable model for learning latent bases from time varying, non-negative data. We take a probabilistic approach to modeling the temporal dependence in data by introducing a dynamic Dirichlet prior-a Dirichlet distribution with dynamic parameters. This new distribution allows us to assure non-negativity and avoid intractability when sequential updates are performed (othe... |
Year | DOI | Venue |
---|---|---|
2019 | 10.1109/TASLP.2019.2903288 | IEEE/ACM Trans. Audio, Speech & Language Processing |
Keywords | Field | DocType |
Hidden Markov models,Data models,Probabilistic logic,Source separation,Speech processing,Signal processing algorithms | Pattern recognition,Expectation–maximization algorithm,Computer science,Latent variable model,Matrix decomposition,Artificial intelligence,Non-negative matrix factorization,Probabilistic logic,Dirichlet distribution,Maximum a posteriori estimation,Source separation | Journal |
Volume | Issue | ISSN |
27 | 5 | 2329-9290 |
Citations | PageRank | References |
1 | 0.35 | 3 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Anurendra Kumar | 1 | 1 | 0.35 |
Tanaya Guha | 2 | 4 | 3.83 |
Prasanta Kumar Ghosh | 3 | 156 | 32.78 |