Detail výsledku s přesahem do praxe

Summary report of project "Speech enhancement front-end for robust automatic speech recognition with large amount of training data" for Year 2017

ŽMOLÍKOVÁ, K.

Originální název

Summary report of project "Speech enhancement front-end for robust automatic speech recognition with large amount of training data" for Year 2017

Anglický název

Summary report of project "Speech enhancement front-end for robust automatic speech recognition with large amount of training data" for Year 2017

Druh

Souhrnná výzkumná zpráva

Originální abstrakt

The research report deals with the optimization of speaker-aware multichannel speech extraction with ASR criterion for robust speech recognition. It has the form  of a conference paper.   

Anglický abstrakt

The research report deals with the optimization of speaker-aware multichannel speech extraction with ASR criterion for robust speech recognition. It has the form  of a conference paper.   

Klíčová slova

speech recognition, robustness, DNN, speaker separation

Klíčová slova v angličtině

speech recognition, robustness, DNN, speaker separation

Autoři

ŽMOLÍKOVÁ, K.

Rok RIV

2018

Vydáno

31.12.2017

Nakladatel

NTT Corporation

Místo

Brno

Strany počet

1

URL

https://www.fit.vut.cz/research/publication/11634/

BibTex

@misc{BUT146435,
  author="Kateřina {Žmolíková}",
  title="Summary report of project {"}Speech enhancement front-end for robust automatic speech recognition with large amount of training data{"} for Year 2017",
  year="2017",
  pages="1",
  publisher="NTT Corporation",
  address="Brno",
  url="https://www.fit.vut.cz/research/publication/11634/",
  note="Summary research report"
}

Dokumenty

NTT_sum_report_2017