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This paper proposes a novel technique to exploit generative and discriminative models for speech recognition. Speech recognition using discriminative models ...
Abstract. This paper proposes a novel technique to exploit discriminative models with subclasses for speech recognition. Speech recogni-.
Hiroshi Fujimura, Masanobu Nakamura, Yusuke Shinohara, Takashi Masuko: N-Best rescoring by adaboost phoneme classifiers for isolated word recognition.
We present algorithms to classify isolated hypersurface singularities over the real numbers according to the classification by V.I. Arnold (Arnold et al., 1985) ...
Takashi Masuko's 7 research works with 24 citations, including: N-best rescoring by phoneme classifiers using subclass adaboost algorithm.
N-Best rescoring by adaboost phoneme classifiers for isolated word recognition · Hiroshi FujimuraMasanobu NakamuraYusuke ShinoharaT. Masuko. Computer Science.
This paper describes some early research on using search re- sults as features to rescore speech N-best hypotheses. We formulate the problem as a binary ...
Missing: adaboost phoneme
2013 N-best rescoring by phoneme classifiers using subclass adaboost algorithm. Ishikawa et al. 1990 A real time connected word recognition system. Priority ...
rescored lattice can be decoded to obtain the 1-best recognition hypothesis. ... Framewise phoneme classification with ... in N-best list rescoring. In Eurospeech, ...
N-Best rescoring by adaboost phoneme classifiers for isolated word recognition〔C〕/ 2011 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU).