We present an overview of the RWTH Aachen large vocabulary continuous speech recognizer. The recognizer is based on continuous density hidden Markov models ...

This paper presents details of the RWTH large vocabulary continuous speech recognition system used in the VERBMO-. BIL spontaneous speech translation system.

In this paper, we present an overview of the RWTH Aachen large vocabulary continuous speech recognizer. The recog- nizer is based on continuous density hidden ...

We present an overview of the RWTH Aachen large vocabulary continuous speech recognizer. The recognizer is based on continuous density hidden Markov models ...

An overview of the RWTH Aachen large vocabulary continuous speech recognizer is presented, which is based on continuous density hidden Markov models and a ...

In this paper the RWTH large vocabulary continuous speech recognition (LVCSR) systems developed for the IWSLT-2016 evaluation campaign are described. This ...

This paper presents details of the RWTH large vocabulary continuous speech recognition system used in the VERBMO- BIL spontaneous speech translation system.

This paper summarizes our key efforts to build a large vocabulary continuous speech recognition system for the heterogenous BN task without inducing undesired ...

This paper presents details of the RWTH large vocabulary continuous speech recognition system used in the VERBMO-BIL spontaneous speech translation system.

In this paper, German and English large vocabulary continuous speech recognition (LVCSR) systems developed by the RWTH Aachen University for the IWSLT-2013 ...