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ICASSP
2010
IEEE
13 years 7 months ago
HMM-based sequence-to-frame mapping for voice conversion
Voice conversion can be reduced to a problem to find a transformation function between the corresponding speech sequences of two speakers. Perhaps the most voice conversions meth...
Yu Qiao, Daisuke Saito, Nobuaki Minematsu
MIR
2006
ACM
220views Multimedia» more  MIR 2006»
14 years 1 months ago
Robust scene recognition using language models for scene contexts
We propose a robust scene recognition framework using scene context information for multimedia contents. Multimedia contents consist of scene sequences that are more likely to hap...
Ryoichi Ando, Koichi Shinoda, Sadaoki Furui, Takah...
ICASSP
2011
IEEE
12 years 11 months ago
Discriminative Training for direct minimization of deletion, insertion and substitution errors
In this paper, we follow the minimum error principle for acoustic modeling and formulate error objectives in insertion, deletion, and substitution separately for minimization duri...
Sunghwan Shin, Ho-Young Jung, Biing-Hwang Juang
ICPR
2002
IEEE
14 years 8 months ago
Relational Graph Labelling Using Learning Techniques and Markov Random Fields
This paper introduces an approach for handling complex labelling problems driven by local constraints. The purpose is illustrated by two applications: detection of the road networ...
Denis Rivière, Jean-Francois Mangin, Jean-M...
CORR
1999
Springer
67views Education» more  CORR 1999»
13 years 7 months ago
Robust Combining of Disparate Classifiers through Order Statistics
: Integrating the outputs of multiple classifiers via combiners or meta-learners has led to substantial improvements in several difficult pattern recognition problems. In this arti...
Kagan Tumer, Joydeep Ghosh