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Combination of Acoustic Classifiers based on Dempster-Shafer Theory of evidence
Type of publication: Idiap-RR
Citation: valente:rr06-61
Number: Idiap-RR-61-2006
Year: 2006
Institution: IDIAP
Note: Published in ICASSP 2007
Abstract: In this paper we investigate combination of neural net based classifiers using Dempster-Shafer Theory of Evidence. Under some assumptions, combination rule resembles a product of errors rule observed in human speech perception. Different combination are tested in ASR experiments both in matched and mismatched conditions and compared with more conventional probability combination rules. Proposed techniques are particularly effective in mismatched conditions.
Userfields: ipdmembership={speech},
Keywords:
Projects Idiap
Authors Valente, Fabio
Hermansky, Hynek
Crossref by valente:ICASSP:2007
Added by: [UNK]
Total mark: 0
Attachments
  • valente-idiap-rr-06-61.pdf
  • valente-idiap-rr-06-61.ps.gz
Notes