FBK @ IWSLT 2013 – ASR tracks

Daniele Falavigna, Roberto Gretter, Fabio Brugnara, Diego Giuliani


Abstract
This paper reports on the participation of FBK at the IWSLT2013 evaluation campaign on automatic speech recognition (ASR): precisely on both English and German ASR track. Only primary submissions have been sent for evaluation. For English, the ASR system features acoustic models trained on a portion of the TED talk recordings that was automatically selected according to the fidelity of the provided transcriptions. Two decoding steps are performed interleaved by acoustic feature normalization and acoustic model adaptation. A final step combines the outputs obtained after having rescored the word graphs generated in the second decoding step with 4 different language models. The latter are trained on: out-of-domain text data, in-domain data and several sets of automatically selected data. For German, acoustic models have been trained on automatically selected portions of a broadcast news corpus, called ”Euronews”. Differently from English, in this case only two decoding steps are carried out without making use of any rescoring procedure.
Anthology ID:
2013.iwslt-evaluation.7
Volume:
Proceedings of the 10th International Workshop on Spoken Language Translation: Evaluation Campaign
Month:
December 5-6
Year:
2013
Address:
Heidelberg, Germany
Editor:
Joy Ying Zhang
Venue:
IWSLT
SIG:
SIGSLT
Publisher:
Note:
Pages:
Language:
URL:
https://aclanthology.org/2013.iwslt-evaluation.7
DOI:
Bibkey:
Cite (ACL):
Daniele Falavigna, Roberto Gretter, Fabio Brugnara, and Diego Giuliani. 2013. FBK @ IWSLT 2013 – ASR tracks. In Proceedings of the 10th International Workshop on Spoken Language Translation: Evaluation Campaign, Heidelberg, Germany.
Cite (Informal):
FBK @ IWSLT 2013 – ASR tracks (Falavigna et al., IWSLT 2013)
Copy Citation:
PDF:
https://preview.aclanthology.org/naacl-24-ws-corrections/2013.iwslt-evaluation.7.pdf