Volterra Series for Analyzing MLP based Phoneme Posterior Probability Estimator
| Type of publication: | Idiap-RR |
| Citation: | Pinto_Idiap-RR-69-2008 |
| Number: | Idiap-RR-69-2008 |
| Year: | 2008 |
| Month: | 10 |
| Institution: | Idiap |
| Abstract: | We present a framework to apply Volterra series to analyze multilayered perceptrons trained to estimate the posterior probabilities of phonemes in automatic speech recognition. The identified Volterra kernels reveal the spectro-temporal patterns that are learned by the trained system for each phoneme. To demonstrate the applicability of Volterra series, we analyze a multilayered perceptron trained using Mel filter bank energy features and analyze its first order Volterra kernels. |
| Keywords: | |
| Projects: |
SNSF-KEYSPOT IM2 SNSF-MULTI |
| Authors: | |
| Crossref by |
Pinto_ICASSP_2009 |
| Added by: | [ADM] |
| Total mark: | 0 |
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