A Cache-Based Natural Language Model for Speech Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Corrections to "A Cache-Based Language Model for Speech Recognition"
IEEE Transactions on Pattern Analysis and Machine Intelligence
On smoothing techniques for bigram-based natural language modelling
ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
Speaker adaptation based on Markov modeling of speakers in speaker-independent speech recognition
ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
Adaptive language modeling using minimum discriminant estimation
ICASSP'92 Proceedings of the 1992 IEEE international conference on Acoustics, speech and signal processing - Volume 1
Combining topic specific language models
TSD'11 Proceedings of the 14th international conference on Text, speech and dialogue
Use of contexts in language model interpolation and adaptation
Computer Speech and Language
On the dynamic adaptation of language models based on dialogue information
Expert Systems with Applications: An International Journal
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This paper introduces a simple and general scheme for the adaptation of stochastic language models to changing text styles. For each word in the running text, the adapted model is a linear combination of specific models, the interpolation parameters being estimated on the preceding text passage. Experiments on an English 1.1-million word corpus show the validity of the approach. The adaptation method improves a bigram language model by 10% in terms of test-set perplexity.