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Extensions of recurrent neural network language model
We present several modifications of the original recurrent neural network language model (RNN LM).While this model has been shown to significantly outperform many competitive language modelingExpand
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RNNLM - Recurrent Neural Network Language Modeling Toolkit
We present a freely available open-source toolkit for training recurrent neural network based language models. It can be easily used to improve existing speech recognition and machine translationExpand
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Empirical Evaluation and Combination of Advanced Language Modeling Techniques
We present results obtained with several advanced language modeling techniques, including class based model, cache model, maximum entropy model, structured language model, random forest languageExpand
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SUBWORD LANGUAGE MODELING WITH NEURAL NETWORKS
We explore the performance of several types of language mode ls on the word-level and the character-level language modelin g tasks. This includes two recently proposed recurrent neural netwo rkExpand
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Variational approximation of long-span language models for lvcsr
Long-span language models that capture syntax and semantics are seldom used in the first pass of large vocabulary continuous speech recognition systems due to the prohibitive search-space ofExpand
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Generating exact lattices in the WFST framework
We describe a lattice generation method that is exact, i.e. it satisfies all the natural properties we would want from a lattice of alternative transcriptions of an utterance. This method does notExpand
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Recurrent Neural Network Based Language Modeling in Meeting Recognition
We use recurrent neural network (RNN) based language models to improve the BUT English meeting recognizer. On the baseline setup using the original language models we decrease word error rate (WER)Expand
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Approximate inference: A sampling based modeling technique to capture complex dependencies in a language model
In this paper, we present strategies to incorporate long context information directly during the first pass decoding and also for the second pass lattice re-scoring in speech recognition systems.Expand
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Posterior-based out of vocabulary word detection in telephone speech
In this paper we present an out-of-vocabulary word detector suitable for English conversational and read speech. We use an approach based on phone posteriors created by a Large Vocabulary ContinuousExpand
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Preserving Containers
Container technology has been quickly adopted as a tool to encapsulate and share complex software setups, e.g. in the domain of computational science. With growing significance of this class ofExpand
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