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» MLP based phoneme detectors for Automatic Speech Recognition
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ICASSP
2011
IEEE
12 years 8 months ago
MLP based phoneme detectors for Automatic Speech Recognition
Phoneme posterior probabilities estimated using Multi-Layer Perceptrons (MLPs) are extensively used both as acoustic scores and features for speech recognition. In this paper we e...
Samuel Thomas, Patrick Nguyen, Geoffrey Zweig, Hyn...
MLMI
2007
Springer
13 years 11 months ago
A Study of Phoneme and Grapheme Based Context-Dependent ASR Systems
In this paper we present a study of automatic speech recognition systems using context-dependent phonemes and graphemes as sub-word units based on the conventional HMM/GMM system a...
John Dines, Mathew Magimai-Doss
ICASSP
2009
IEEE
13 years 2 months ago
Volterra series for analyzing MLP based phoneme posterior estimator
We present a framework to apply Volterra series to analyze multilayered perceptrons trained to estimate the posterior probabilities of phonemes in automatic speech recognition. Th...
Joel Pinto, Garimella S. V. S. Sivaram, Hynek Herm...
NOLISP
2005
Springer
13 years 10 months ago
MLP Internal Representation as Discriminative Features for Improved Speaker Recognition
Feature projection by non-linear discriminant analysis (NLDA) can substantially increase classification performance. In automatic speech recognition (ASR) the projection provided b...
Dalei Wu, Andrew C. Morris, Jacques C. Koreman
INTERSPEECH
2010
12 years 12 months ago
Hierarchical multilayer perceptron based language identification
Automatic language identification (LID) systems generally exploit acoustic knowledge, possibly enriched by explicit language specific phonotactic or lexical constraints. This pape...
David Imseng, Mathew Magimai-Doss, Hervé Bo...