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» French prominence: A probabilistic framework
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ICASSP
2008
IEEE
13 years 11 months ago
French prominence: A probabilistic framework
Identification of prosodic phenomena is of first importance in prosodic analysis and modeling. In this paper, we introduce a new method for automatic prosodic phenomena labellin...
Nicolas Obin, Xavier Rodet, Anne Lacheret-Dujour
INTERSPEECH
2010
12 years 11 months ago
SAFE: a statistical algorithm for F0 estimation for both clean and noisy speech
A novel Statistical Approach for F0 Estimation, SAFE, is proposed to improve the accuracy of F0 tracking under both clean and additive noise conditions. Prominent Signal-to-Noise ...
Wei Chu, Abeer Alwan
ICPR
2010
IEEE
13 years 3 months ago
Learning Non-Linear Dynamical Systems by Alignment of Local Linear Models
Abstract—Learning dynamical systems is one of the important problems in many fields. In this paper, we present an algorithm for learning non-linear dynamical systems which works...
Masao Joko, Yoshinobu Kawahara, Takehisa Yairi
ICASSP
2009
IEEE
13 years 2 months ago
Spoken language interpretation: On the use of dynamic Bayesian networks for semantic composition
In the context of spoken language interpretation, this paper introduces a stochastic approach to infer and compose semantic structures. Semantic frame structures are directly deri...
Marie-Jean Meurs, Fabrice Lefevre, Renato de Mori
KDD
2009
ACM
221views Data Mining» more  KDD 2009»
14 years 5 months ago
Migration motif: a spatial - temporal pattern mining approach for financial markets
A recent study by two prominent finance researchers, Fama and French, introduces a new framework for studying risk vs. return: the migration of stocks across size-value portfolio ...
Xiaoxi Du, Ruoming Jin, Liang Ding, Victor E. Lee,...