The paper overviews the 11th evaluation campaign organized by the IWSLT workshop. The
2014 evaluation offered multiple tracks on lecture transcription and translation based on the …

The paper overviews the tenth evaluation campaign organized by the IWSLT workshop. The
2013 evaluation offered multiple tracks on lecture transcription and translation based on the …

This paper describes the University of Edinburgh's spoken language translation (SLT) and
machine translation (MT) systems for the IWSLT 2014 evaluation campaign. In the SLT track …

This paper describes the University of Edinburgh (UEDIN) ASR systems for the 2014 IWSLT
Evaluation. Notable features of the English system include deep neural network acoustic …

Posterior-based or bottleneck features derived from neural networks trained on out-of-
domain data may be successfully applied to improve speech recognition performance when …

This paper describes the University of Edinburgh (UEDIN) English ASR system for the
IWSLT 2013 Evaluation. Notable features of the system include deep neural network …

This dissertation outlines work related to Speech Segmentation–segmenting an audio
recording into regions of speech and non-speech, and Speaker Diarization–further …

In this paper, we improve morph-based speech recognition system by focusing adaptation
efforts on acronyms (ACRs) and foreign proper names (FPNs). An unsupervised language …

In this work we evaluate a set of lexicon adaptation methods for improving the recognition of
foreign names and acronyms in automatic speech recognition (ASR). The most likely foreign …

Automatic transcription of lectures is one of the promising applications of automatic speech
recognition (ASR), since captions to the lectures are needed not only for hearing-impaired …