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» Advances in Large Vocabulary Continuous Speech Recognition
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ICASSP
2011
IEEE
12 years 11 months ago
Efficient out-of-vocabulary term detection by n-gram array indices with distance from a syllable lattice
For spoken document retrieval, it is very important to consider Out-of-Vocabulary (OOV) and mis-recognition of spoken words. Therefore, sub-word unit based recognition and retriev...
Keisuke Iwami, Yasuhisa Fujii, Kazumasa Yamamoto, ...
ICML
2008
IEEE
14 years 8 months ago
Modified MMI/MPE: a direct evaluation of the margin in speech recognition
In this paper we show how common speech recognition training criteria such as the Minimum Phone Error criterion or the Maximum Mutual Information criterion can be extended to inco...
Georg Heigold, Hermann Ney, Ralf Schlüter, Th...
IJCNN
2000
IEEE
13 years 12 months ago
The Inefficiency of Batch Training for Large Training Sets
Multilayer perceptrons are often trained using error backpropagation (BP). BP training can be done in either a batch or continuous manner. Claims have frequently been made that bat...
D. Randall Wilson, Tony R. Martinez
TASLP
2002
84views more  TASLP 2002»
13 years 7 months ago
Maximum likelihood multiple subspace projections for hidden Markov models
The first stage in many pattern recognition tasks is to generate a good set of features from the observed data. Usually, only a single feature space is used. However, in some compl...
Mark J. F. Gales
EJASMP
2010
112views more  EJASMP 2010»
13 years 2 months ago
Query-Driven Strategy for On-the-Fly Term Spotting in Spontaneous Speech
Spoken utterance retrieval was largely studied in the last decades, with the purpose of indexing large audio databases or of detecting keywords in continuous speech streams. While...
Mickael Rouvier, Georges Linares, Benjamin Lecoute...