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Latent variable decomposition for posteriors or likelihood based subband ASR
Type of publication: Idiap-Com
Citation: morris99-04
Number: Idiap-Com-04-1999
Year: 1999
Institution: IDIAP
Abstract: Latent variable decomposition permits factorisation of posterior probability based, or likelihood based, speech unit discriminant functions into a composition of simpler functions which can be analysed separately and evaluated more accurately in the presence of band-limited noise, or other source of data mismatch. See [2,7] for a more self contained introduction to this subject. In this report we present the essential theoretical issues, and implementation details, for the key points concerning this approach to multiband ASR. In particular, we show that the posteriors and likelihood based multiband decompositions are very closely linked.
Userfields: ipdmembership={speech},
Keywords: likelihood decomposition, multiband ASR, posteriors decomposition
Projects Idiap
Authors Morris, Andrew
Added by: [UNK]
Total mark: 0
Attachments
  • com99-04.pdf
  • com99-04.ps.gz
Notes