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 [BibTeX] [Marc21]
Reverse Correlation for analyzing MLP Posterior Features in ASR
Type of publication: Idiap-RR
Citation: pinto:rr08-13
Number: Idiap-RR-13-2008
Year: 2008
Institution: IDIAP
Note: Submitted for publication
Abstract: In this work, we investigate the reverse correlation technique for analyzing posterior feature extraction using an multilayered perceptron trained on multi-resolution RASTA (MRASTA) features. The filter bank in MRASTA feature extraction is motivated by human auditory modeling. The MLP is trained based on an error criteria and is purely data driven. In this work, we analyze the functionality of the combined system using reverse correlation analysis.
Userfields: ipdmembership={speech},
Projects Idiap
Authors Pinto, Joel Praveen
Sivaram, G. S. V. S.
Hermansky, Hynek
Crossref by pinto:TSD:2008
Added by: [UNK]
Total mark: 0
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