Add to ORKGIn this paper, German and English large vocabulary contin-uous speech recognition (LVCSR) systems developed by the RWTH Aachen University for the IWSLT-2013 evaluation campaign are presented. Good improvements are obtained with state-of-the-art monolingual and multilingual bottle-neck features. In addition, an open vocabulary approach us-ing morphemic sub-lexical units is investigated along with the language model adaptation for the German LVCSR. For both the languages, competitive WERs are achieved using system combination. 1
This work describes the statistical machine translation (SMT) systems of RWTH Aachen University deve...
The Speech and Hearing Research Group of the University of Sheffield submitted a fusion language re...
We present our systems for the machine translation evalua-tion campaign of the International Worksho...
German is a highly inflected language with a large number of words derived from the same root. It ma...
In this paper we report on our activities in multilingual, speakerindependent, large vocabulary cont...
German is a highly inflected language with a large number of words derived from the same root. It ma...
In this paper, we describe the RWTH speech recognition sys-tem for English lectures developed within...
This paper describes the development of the LVCSR (Large Vocabulary Continuous Speech Recognition) s...
This paper describes the systems submitted by FBK for the MT and SLT tracks of IWSLT 2014. We partic...
This paper presents the 1997 BBN Byblos Large Vo-cabulary Speech Recognition (LVCSR) system. We give...
State-of-the-art large vocabulary continuous speech recognition (LVCSR) systems often combine output...
In this paper we describe the large-scale German broadcast corpus (GER-TV1000h) containing more than...
fsixtus,molau,kanthak,s hlueter,neyginformatik.rwth-aa hen.de This paper presents re ent improvement...
This paper presents results for large vocabulary continuous speech recognition (LVCSR) in Swedish. W...
This article describes the design and the experimental evaluation of the first Hungarian large vocab...
This work describes the statistical machine translation (SMT) systems of RWTH Aachen University deve...
The Speech and Hearing Research Group of the University of Sheffield submitted a fusion language re...
We present our systems for the machine translation evalua-tion campaign of the International Worksho...
German is a highly inflected language with a large number of words derived from the same root. It ma...
In this paper we report on our activities in multilingual, speakerindependent, large vocabulary cont...
German is a highly inflected language with a large number of words derived from the same root. It ma...
In this paper, we describe the RWTH speech recognition sys-tem for English lectures developed within...
This paper describes the development of the LVCSR (Large Vocabulary Continuous Speech Recognition) s...
This paper describes the systems submitted by FBK for the MT and SLT tracks of IWSLT 2014. We partic...
This paper presents the 1997 BBN Byblos Large Vo-cabulary Speech Recognition (LVCSR) system. We give...
State-of-the-art large vocabulary continuous speech recognition (LVCSR) systems often combine output...
In this paper we describe the large-scale German broadcast corpus (GER-TV1000h) containing more than...
fsixtus,molau,kanthak,s hlueter,neyginformatik.rwth-aa hen.de This paper presents re ent improvement...
This paper presents results for large vocabulary continuous speech recognition (LVCSR) in Swedish. W...
This article describes the design and the experimental evaluation of the first Hungarian large vocab...
This work describes the statistical machine translation (SMT) systems of RWTH Aachen University deve...
The Speech and Hearing Research Group of the University of Sheffield submitted a fusion language re...
We present our systems for the machine translation evalua-tion campaign of the International Worksho...