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» Large-Vocabulary Speech Recognition Algorithms
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ACL
2007
14 years 11 months ago
Vocabulary Decomposition for Estonian Open Vocabulary Speech Recognition
Speech recognition in many morphologically rich languages suffers from a very high out-of-vocabulary (OOV) ratio. Earlier work has shown that vocabulary decomposition methods can ...
Antti Puurula, Mikko Kurimo
94
Voted
TASLP
2010
97views more  TASLP 2010»
14 years 4 months ago
Hierarchical Bayesian Language Models for Conversational Speech Recognition
Traditional n-gram language models are widely used in state-of-the-art large vocabulary speech recognition systems. This simple model suffers from some limitations, such as overfi...
Songfang Huang, Steve Renals
ICMCS
2006
IEEE
112views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Minimum Phoneme Error based Filter Bank Analysis for Speech Recognition
In this paper the optimal filter-bank design method based on the Minimum Phone Error (MPE) criteria is investigated. We use Gaussian type filter bank for optimization and variou...
Hao Huang, Jie Zhu
75
Voted
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
NAACL
1994
14 years 10 months ago
Tree-Based State Tying for High Accuracy Modelling
The key problem to be faced when building a HMM-based continuous speech recogniser is maintaining the balance between model complexity and available training data. For large vocab...
S. J. Young, J. J. Odell, Philip C. Woodland