Title
Dirichlet Latent Variable Model: A Dynamic Model Based on Dirichlet Prior for Audio Processing.
Abstract
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 Kumar110.35
Tanaya Guha243.83
Prasanta Kumar Ghosh315632.78