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» Continuous speech recognition with a TF-IDF acoustic model
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ICASSP
2010
IEEE
14 years 9 months ago
Large margin estimation of n-gram language models for speech recognition via linear programming
We present a novel discriminative training algorithm for n-gram language models for use in large vocabulary continuous speech recognition. The algorithm uses large margin estimati...
Vladimir Magdin, Hui Jiang
ICRA
2005
IEEE
173views Robotics» more  ICRA 2005»
15 years 3 months ago
Decision Networks for Repair Strategies in Speech-Based Interaction with Mobile Tour-Guide Robots
– The main task of a voice-enabled tour-guide robot in mass exhibition setting is to engage visitors in dialogue and provide as much exhibit information as possible in a limited ...
Plamen J. Prodanov, Andrzej Drygajlo
105
Voted
ICASSP
2011
IEEE
14 years 1 months ago
Using morpheme and syllable based sub-words for polish LVCSR
Polish is a synthetic language with a high morpheme-perword ratio. It makes use of a high degree of inflection leading to high out-of-vocabulary (OOV) rates, and high Language Mo...
M. Ali Basha Shaik, Amr El-Desoky Mousa, Ralf Schl...
FTSIG
2007
136views more  FTSIG 2007»
14 years 9 months ago
The Application of Hidden Markov Models in Speech Recognition
Hidden Markov Models (HMMs) provide a simple and effective framework for modelling time-varying spectral vector sequences. As a consequence, almost all present day large vocabula...
Mark J. F. Gales, Steve Young
67
Voted
NAACL
2007
14 years 11 months ago
Analysis of Morph-Based Speech Recognition and the Modeling of Out-of-Vocabulary Words Across Languages
We analyze subword-based language models (LMs) in large-vocabulary continuous speech recognition across four “morphologically rich” languages: Finnish, Estonian, Turkish, and ...
Mathias Creutz, Teemu Hirsimäki, Mikko Kurimo...