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» Relevance language modeling for speech recognition
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TASLP
2010
97views more  TASLP 2010»
14 years 6 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
97
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ICASSP
2010
IEEE
14 years 12 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
EMNLP
2006
15 years 1 months ago
Corrective Models for Speech Recognition of Inflected Languages
This paper presents a corrective model for speech recognition of inflected languages. The model, based on a discriminative framework, incorporates word ngrams features as well as ...
Izhak Shafran, Keith Hall
ICASSP
2010
IEEE
14 years 12 months ago
Morphology-based and sub-word language modeling for Turkish speech recognition
We explore morphology-based and sub-word language modeling approaches proposed for morphologically rich languages, and evaluate and contrast them for Turkish broadcast news transc...
Hasim Sak, Murat Saraclar, Tunga Güngör
NAACL
1994
15 years 1 months ago
Speech Recognition Using a Stochastic Language Model Integrating Local and Global Constraints
In this paper, we propose a new stochastic language model that integrates local and global constraints effectively and describe a speechrecognition system basedon it. Theproposedl...
Ryosuke Isotani, Shoichi Matsunaga