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» Learning non-parametric models of pronunciation
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ICASSP
2011
IEEE
13 years 7 days ago
Informative dialect recognition using context-dependent pronunciation modeling
We propose an informative dialect recognition system that learns phonetic transformation rules, and uses them to identify dialects. A hidden Markov model is used to align referenc...
Nancy F. Chen, Wade Shen, Joseph P. Campbell, Pedr...
LREC
2010
154views Education» more  LREC 2010»
13 years 10 months ago
Improving Proper Name Recognition by Adding Automatically Learned Pronunciation Variants to the Lexicon
This paper deals with the task of large vocabulary proper name recognition. In order to accomodate a wide diversity of possible name pronunciations (due to non-native name origins...
Bert Réveil, Jean-Pierre Martens, Henk van ...
DIS
2006
Springer
14 years 6 days ago
Optimal Bayesian 2D-Discretization for Variable Ranking in Regression
In supervised machine learning, variable ranking aims at sorting the input variables according to their relevance w.r.t. an output variable. In this paper, we propose a new relevan...
Marc Boullé, Carine Hue
INTERSPEECH
2010
13 years 3 months ago
Modeling liaison in French by using decision trees
French is known to be a language with major pronunciation irregularities at word endings with consonants. Particularly, the well-known phonetic phenomenon called Liaison is one of...
Josafá de Jesus Aguiar Pontes, Sadaoki Furu...
DAGM
2010
Springer
13 years 9 months ago
Gaussian Mixture Modeling with Gaussian Process Latent Variable Models
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
Hannes Nickisch, Carl Edward Rasmussen