We announce the public availability of the RWTH Aachen University speech recognition
toolkit. The toolkit includes state of the art speech recognition technology for acoustic model …

RASR is the open source version of the well-proven speech recognition toolkit developed
and used at RWTH Aachen University. The current version of the package includes state of …

The deaf community relies on sign language as the primary means of communication. For
the millions of people around the world who suffer from hearing loss, interaction with hearing …

This paper describes the rapid development of a Polish language speech recognition
system. The system development was performed without access to any transcribed acoustic …

Conventional speech recognition systems are based on hidden Markov models (HMMs) with
Gaussian mixture models (GHMMs). Discriminative log-linear models are an alternative …

The subtitling demand has grown quickly over the years. The path of manual subtitling is no
longer feasible, due to increased costs and reduced production times. Assisted Subtitling is …

The subtitling demand of multimedia content has grown quickly over the last years,
especially after the adoption of the new European audiovisual legislation, which forces to …

We propose to explicitly model white-spaces for Arabic handwriting recognition within
different writing variants. Position-dependent character shapes in Arabic handwriting allow …

In this paper we show how common speech recognition training criteria such as the
Minimum Phone Error criterion or the Maximum Mutual Information criterion can be …

Conventional speech recognition systems are based on Gaussian hidden Markov models
(HMMs). Discriminative techniques such as log-linear modeling have been investigated in …