[PDF][PDF] Improvements in RWTH LVCSR evaluation systems for Polish, Portuguese, English, urdu, and Arabic.
Abstract In this work, Portuguese, Polish, English, Urdu, and Arabic automatic speech
recognition evaluation systems developed by the RWTH Aachen University are presented …
recognition evaluation systems developed by the RWTH Aachen University are presented …
The RWTH Aachen LVCSR system for IWSLT-2016 German Skype conversation recognition task
In this paper the RWTH large vocabulary continuous speech recognition (LVCSR) systems
developed for the IWSLT-2016 evaluation campaign are described. This evaluation …
developed for the IWSLT-2016 evaluation campaign are described. This evaluation …
[PDF][PDF] Investigation on language modelling approaches for open vocabulary speech recognition
B Shaik, M Ali - 2016 - publications.rwth-aachen.de
By definition, words that are not present in a recognition vocabulary are called out-of-
vocabulary (OOV) words. Recognition of unseen or new words is an important feature that is …
vocabulary (OOV) words. Recognition of unseen or new words is an important feature that is …
[PDF][PDF] Discriminative training of linear transformations and mixture density splitting for speech recognition
MA Tahir - 2015 - d-nb.info
Discriminative training has been established as an effective technique for training the
acoustic model of an automatic speech recognition system. It reduces the word error rate as …
acoustic model of an automatic speech recognition system. It reduces the word error rate as …
[PDF][PDF] Investigations on neural networks, discriminative training criteria and error bounds
M Nußbaum-Thom - 2020 - publications.rwth-aachen.de
The task of an automatic speech recognition system is to convert speech signals into written
text by choosing the recognition result according to a statistical decision rule. The …
text by choosing the recognition result according to a statistical decision rule. The …
[PDF][PDF] Discriminative feature modeling for statistical speech recognition
Z Tüske - 2020 - scholar.archive.org
Conventional speech recognition systems consist of feature extraction, acoustic and
language modeling blocks, and search block. In a recent trend the traditional modeling …
language modeling blocks, and search block. In a recent trend the traditional modeling …